b) Coefficient of correlation= 0. Positive Correlation → X variable increases Y variable also increases. Preliminaries import pandas as pd con = pd. Optionally, you can add a title a name to the axes. A scatter diagram is widely known as a correlation chart, scatter graph, or scatter plot. End of preview. Scatterplots and Correlation - University of West Georgia. It is telling us that we have a near perfect correlation. Ther are 3 types of correlation: 1. We are covering. By seeing data graphically, you can see patterns or trends in the data. You can see if the correlation is positive, negative or non-existent. It is a type of graph that clearly represents the association between the two variables, where one variable is represented on the horizontal axis, and the other on the vertical axis. Positive or negative relationship. Step 2: Method 1: Use Hypothesis test method with a given α. When Should You Use a Positive Scatter Plot? A positive correlation means that as the first variable increases, the second variable increases as well. If one stock increases and another stock also increases with it, then that it is a positive correlation. You can use the following methods to plot multiple plots on the same graph in R. A correlation in a scatter diagram . there is a rule of thumb for. How Do You Use a Scatter Plot to Find a Positive Correlation? For Teachers 6th - 11th You can use a scatter plot to determine if there is a positive, negative, or no correlation between the given data. There are a few outliers, but the vast majority follows this hypothesis. Scatter graphs are a good way of displaying two sets of data to see if there is a correlation, or connection. • Like the mean and standard deviation, the correlation is not resistant: r is strongly affected by a few outlying observations. Scatter diagrams, strong and weak correlation, positive and negative correlation, lines of best fit, extrapolation and interpolation. pq299452 pq299452 Answer: a. If the variables are correlated . You can also click on search box and type “Scatter Plot” to quickly get your chart. The plot also shows there is no correlation between the variables. The slope of the line is positive (small values of X correspond to small values of Y; large values of X correspond to large values of Y ), so there is a positive co-relation (that is, a positive. Weaker relationships have values of r r closer to 0 0. Length: 65 Minutes. If the data points make a straight line going from near the origin out to high y-values, the variables are said to have a positive correlation. Optionally, you can add a title a name to the axes. Positive correlation means that as one increases, so does the other, and is shown on the scatter plot line diagram as a line with positive slope. There is a general upward trend so there is. The scatter plot is shown below: There is a lot of scatter, but there appears to be a general linear trend. When the points on a scatterplot graph produce a lower-left-to-upper-right pattern (see below), we say that there is a positive correlation between the two variables. You can use a scatter plot to determine if there is a positive, negative, or no correlation between the given data. It is considered an apt method to show the non-linear relationship in data. In scatterplot D, there appears to be no correlation at all. answer choices 12 chapters 15 chapters 18 chapters 21 chapters Question 3 60 seconds Q. The above graph showed that public and private universities show a different pattern of data about the student categories like full-time. 1: Scatter Plots Showing Types of Linear Correlation Creating a scatter plot is not difficult. The correlation between X and Y equals 0. Plot structure is the sequence of events in a story. Finding Correlations with Scatter Plots, How Do You Use a Scatter Plot to Find a Line of Fit? A line-of-fit is a line that summarizes the trend in a set of data. A positive correlation means that as the x-values get larger the y-values also get larger. The sample correlation coefficient (r) is a measure of the closeness of association of the points in a scatter plot to a linear regression . Strong negative linear relationships have values of r r closer to -1 −1. If the x-values increase as the y-values increase, the scatter plot represents a positive correlation. Other measures we can use to describe data include along with finding mean, median and mode. The scatter plot below shows a positive correlation between the x-values and y-values. The following are some examples. What does no correlation mean?. Trying to figure out if there is a positive, negative, or no correlation? Draw a scatter plot! This tutorial takes you through the steps of creating a scatter plot, drawing a line-of-fit, and determining the correlation, if any. the best way to get a visual representation of the relations between your data is to draw a scatter plot with a trendline. Python Scatter Plot. Correlation is said to be positive when the values increase together. Positive Correlation When two variables in a dataset increase or decrease together, then it is known as a positive correlation. Scatter plots are used in numerous applications such as correlation and clustering analysis for exploring the relationship among the variables. 5 hours of time for preparation and has secured 40% of marks is distinct from the correlation and can thus be identified as an outlier. Kuta Software - Infinite Pre-Algebra Name_ Scatter Plots Date_ Period_ State if there appears to be a positive. 2) If the value of y decreases with the value of x, then we can say that the variables have a negative correlation. When there is a correlation, identify the relationship as linear, quadratic, or exponential. 15 Feb 2021. The Y values tend to decrease. Positive correlation. No correlation 2) Negative correlation Linear 3) Positive correlation Quadratic 4) Negative correlation Exponential Construct a scatter plot. The scatter about the line is quite small, so there is a strong linear relationship. #import modules import numpy as np import pandas as. Chart made with Plotly Express. A positive correlation on a scatterplot is evidenced by an upward trending series of points that show that as the x-axis variable increases, so does the y-axis variable. An effective graph to use for this is a. It suggests a weak (r=0. Scatterplots display the direction, strength, and linearity of the relationship between two variables. The basic syntax for creating scatter in R is such as,. In a scatter correlation diagram, if all the points stretch in one line, then the correlation is perfect and is in unity. The figure shows a very strong tendency for X and Y to both rise above their means or fall below their means at the same time. Plot the data on the graph such that . The scatter plot explains the correlation between the two attributes or variables. Below I use R to generate data with a strong positive correlation between X and Y, and with a graph that looks somewhat like your (A). The variable change is proportional, so as one variable increases, so does the other. What type of correlation (association)? The outside temperature and the amount of layers you wear. leaving las vegas plot; China; Fintech; far cry 6 best hdr settings; Policy; houses for sale harrison township ohio; audi rs4 b7 head unit upgrade; maps of yellowstone national park; idaho black bear season 2022; immediately definition; Braintrust; hamilton county election 2022; leopard print lingerie; choice synonym noun; volvo vnl alternator problems; car dealerships; miele f78 reset;. Positive Correlation – If the slope starts from the bottom left and ends on the upper right the correlation is positive. Trend appears linear. If the data . The scatter plot shows the correlation of C q for all targets for a pair of samples or biological groups. Finally, click the Open button in the dropdown. Using a correlation coefficient, the strength of the connection is measured. If we look at the scatter plot, we can see that as x increases, y decreases If there is a negative relationship between the two variables, the value of the correlation coefficients will be negative, and if there is a positive relationship between the two variables, the correlation coefficients will be positive. 21 years means landing a Ph. So let's take a real look at how scatter plots can be used. When r = − 1, there is perfect negative correlation, when r = 0, there is no correlation and when r = 1 there is perfect positive correlation. Scatter plots are used to observe relationships between variables. A scatter plot is used to plot two variables against each other. • Like the mean and standard deviation, the correlation is not resistant: r is strongly affected by a few outlying observations. Search the “Scatter Plot” in the list of chart. On the Inset tab, in the Chats group, click the Scatter chart icon, and select the Scatter thumbnail (the first one): This will insert a. This means that the more a student studied, the higher his or her score tended to be. A positive correlation is one in which the two variables increase together. More examples of positive correlations include: The more time you spend running on a treadmill, the more calories you will burn. To compute the Pearson correlation coefficient, it is required to make the assumption that the two variables are related linearly. If the data points make a straight line from zero to the highest X and highest Y position it means that the variables have a Perfect Positive Correlation. Solved examples. In these plots, the correlation is as strong as it can be. Scatter Plot Showing Strong Positive Linear Correlation Discussion Note in the plot above of the LEW3. The scatter plot is shown below: There is a lot of scatter, but there appears to be a general linear trend. Step 3: Add Labels to Points. A positive correlation is one in which the two variables increase together. This pattern means that when the score of one observation is high, we expect the score of the other observation to be high as well, and vice versa. Age and Weight When we look at the correlation between age and weight the plot points start to form a positive slope. You can use a scatter plot to determine if there is a positive, negative, or no correlation between the given data. Add your answer and earn points. Correlation · Correlation is Positive when the values increase together, and · Correlation is Negative when one value decreases as the other increases. Represented as 1, a positive correlation shows variables moving in the same direction. 5) plot (x,y, ylim=c (0,30), pch=20) cor (x,y) [1] 0. ' Apart from the relationship between the variables, scatter plots can also be categorized based on the slope or trend of the data points. Depending on how tightly the points cluster together, you may be able to. What type of correlation is there in the scatter plot? A scatterplot is used to represent a correlation between two variables. Causation means that one event causes another event to occur. Python Scatter Plot. In this section you will learn how to identify the relationship between variables in a scatterplot. View Scatter Plot 2. The scatter plot is shown below: There is a lot of scatter, but there appears to be a general linear trend. In figures C and E, we have a perfect linear relationship. Scatter plots are really useful for graphically showing a bunch of data. there does not appear to be a relationship between two sets of data. Negative correlation means that when one variable increases, the other decreases. Kuta Software - Infinite Pre-Algebra Name_ Scatter Plots Date_ Period_ State if there appears to be a positive. Scatter plots are used to observe relationships between variables. Question: What type of correlation does th scatter plot in Item 12 show? (A) positive correlation (B) negative correlation (C) no correlation (D) cannot be determined. outliers before you find a correlation/make a scatterplot, check to make sure. Of course, plotting a random distribution of numbers is more for showing what can be done, rather than for being practical. Note in the plot above how a straight line comfortably fits through the data; hence there is a linear relationship. The scatter plot for the relationship between the time spent studying for an examination and the marks scored can be referred to as having a positive correlation. Scatter plots for the two sets of data are shown in Figure 2. Finding Correlations with Scatter Plots How Do You Use a Scatter Plot to Find a Line of Fit?. You just need to define the aesthetics for x on the x-axis and y on the y-axis. Use the trend line to predict how many chapters would be in a book with 180 pages. You learned a way to get a general idea about whether or not two variables are related, is to plot them on a “ scatter plot ”. The scatter plot for the relationship between the time spent. Positive correlation means that as the first variable increases, the second variable increases as . 0 to +1. Correlation means there is a relationship or pattern between the values of two variables. These patterns help researchers to understand how one thing affects another. This figure shows a scatter plot for two variables that have a nonlinear relationship. Scatter plot in Python is one type of a graph plotted by dots in it. The randomly drawn sample results are displayed in the scatterplot along with the sample pearson product-moment correlation. A perfect positive correlation is expressed as +1 and it means that the variables being . When the y y yy variable tends to increase as the x x xx variable increases, we . Independent variable data and dependent variable data are customarily plotted along the horizontal X-axis and Vertical Y-axis. (X is directly proportional to Y) Negative Correlation → X variable increases Y variable decreases. A straight line of best fit (using the least squares method) is often included. To build a scatter plot, we require two sets of data where one set of arrays represents the x axis and the other set of arrays represents the y axis. Step 3: Add Labels to Points. The scatter about the line is quite small, so there is a strong linear relationship. the value of X will increase as the value of Y increases. Scatter plots are very helpful in graphically showing the pattern in a set of data. There are two ways for plotting correlation in R. Instructions : Create a scatter plot using the form below. Readers find this graph easy to plot and understand. If the variables tend to increase and decrease together, the association is positive. Select Insert Scatter or Bubble chart. About Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features Press Copyright Contact us Creators. When Should You Use a Positive Scatter Plot? A positive correlation means that as the first variable increases, the second variable increases as well. A scatter plot in its simplest. Check it out!. Graph shows a positive correlation A line of best fit is a straight line that best represents the data on a scatter plot. They have a positive connection. 18 Jan 2022. One is simply to construct a scatter diagram. The scatter about the line is quite small, so there is a strong linear relationship. A predictor is a function that takes in a value for one variable, and returns an estimate of a different variable, based on all the other points in the cloud. • Correlation is not a complete summary of two-variable data, even when the relationship between the variables is linear. no correlation. The Scatter Plot Pearson's correlation coefficient where Spearman's rank correlation coefficient Where for each case i, di = ri - si = difference in the rank of xi and the rank of yi. docx from DATABASE 140 at Seneca College. 18 Feb 2017. line of best fit. So, the scatter plot in Figure 4 shows a very strong correlation in the positive direction, the scatter plot in Figure 5 shows a very strong correlation in the negative direction, and the. It is a type of graph that clearly represents the association between the two variables, where one variable is represented on the horizontal axis, and the other on the vertical axis. Positive correlation is when the scatter plot takes a generally upward trend. For example, in correlation analysis, scatter plots are used to check if there is a positive or negative correlation between the two variables. There are two type of correlation: positive correlation and negative correlation. King, "Correlation means that between two ther exists casual connection. According to W. 60 seconds. Each member of the dataset gets plotted as a point whose x-y coordinates relates to its values for the two variables. Now positive correlation can further be classified into three categories:. A scatter plot is a special type of graph designed to show the relationship between two variables. The scatter plot shows the correlation of C q for all targets for a pair of samples or biological groups. Scatter Diagrams are convenient mathematical tools to study the correlation between two random variables. In the scatter plot below, we can see a positive correlation between car speed and stopping distance. This visualization makes using of the R corrplot package. You can also click on search box and type “Scatter Plot” to quickly get your chart. One variable is plotted on every axis. You can use the chart to show the relationship between two different variables in. positive B. 7: Module Six Review (No Guided Notes) Lesson 6. Check out examples below. Age and Weight When we look at the correlation between age and weight the plot points start to form a positive slope. It can range from -10 to 10 A positive correlation coefficient indicates a positive relationship a negative coefficient indicates an inverse relationship. The above plot shows the relation between height and weight of football players from the dataframe. The data are displayed as a collection of points, each having the. STATS: DAT‑1 (EU), DAT‑1. If the variables are correlated . It means the values of one variable are increasing with respect to another. True False. This question hasn't been solved yet Ask an expert Question: Determine whether the scatter plot shows Apple Sales a positive, negative, or no correlation. At the moment, we just want the Tableau correlations, not the confidence bands (which is why you have so many lines). There's a clear positive correlation between these two variables. The pattern of dots on a scatterplot allows you to determine whether a relationship or correlation exists. Note in the plot above of the LEW3. So, the scatter plot in Figure 4 shows a very strong correlation in the positive direction, the scatter plot in Figure 5 shows a very strong correlation in the negative direction, and the. They then utilize Excel to create scatterplots, regression line equations, and correlation coefficients (r) for inflation and unemployment data from the 1980s, 1990s, and the 2000s. Causation means that one event causes another event to occur. -ve values indicate a negative correlation. Figure 8-1,. If the scatter points rest near a line or on a line, then the correlation is said to be linear. Scatter plots are made of marks; each mark shows to one member's measures on the factors that are on the x-axis and y-axis of the scatter plot. A straight line of best fit (using the least squares method) is often included. Scatterplots and Correlation - University of West Georgia. If the scatter plot is positively correlated it means the dependent variable increases with independent variable. Scatter Plots And Correlation Answer Key answers to scatter plot questions the first graph seems to have a pretty strong positive correlation so it would have a value of about 0 7 you can see that the band of data points that is angled upward is relatively thin so there is not a whole lot of variation in the results when one variable is entered, this is a 20 problem worksheet over. An increasing trend line indicates a positive correlation, while a decreasing trend line may indicate a negative correlation. (X is inversely. Scatter Plots require 2 sets of data, the first set of data is. Scatter plots of the Frechet Inception Distance (FID) versus the optimality gap on MNIST. Both variables, along with their respective values and data ranges, should be included in the table. Describing Scatter Plots. Since the slope of the line is positive, there is a positive . Scatter plots are graphs that depict clusters of dots that represent all of the pairs of data in an experiment. It is very easy to generate scatter plots using the plot () function in R. This pattern means that when the score of one observation is high, we expect the score of the other observation to be high as well, and vice versa. The variable change is proportional, so as one variable increases, so does the other. H0: ρ = 0 (no linear correlation) Ha: : ρ ≠ 0 Use statdisk/Analysis/Correlation and Regression/ to find p-value. For a negative correlation coefficient, the imaginary line in the Scatter Plot slopes DOWN, from left-to-right. The scatter plot is a graphical representation of the data and it shows the relationship between the data points. If two variables increase or. 5: Frequency Tables Lesson 6. A scatter plot identifies a possible relationship between changes observed in two different sets of variables. Scatter plot. There are two types of correlations: positive and negative. VariableNames, or an integer or logical vector representing the indices of names. Here's a possible description that mentions the form, direction, strength, and the presence of outliers—and mentions the context of the two variables: "This scatterplot shows a strong, negative. A scatter plot matrix shows all pairwise scatter plots for many variables. In the 6 scatter plots, few of the scatter plots reflect the 3 different types of trends. free adult pornxxx
In this section you will learn how to identify the relationship between variables in a scatterplot. . Positive correlation scatter plot
From the plot, we can see a generally tight positive correlation between a tree's diameter and its height. These patterns help researchers to understand how one thing affects another. X data (comma or space separated) Y data (comma or space separated) Type the title (optional) Name of X variable (optional). Practice identifying the types of associations shown in scatter plots. Essentially, in a Scatter Plot with a positive correlation, data points slope upwards from the lower-left corner of the chart towards the upper-right. rsquared to get the statistical measure of fit. The difference between a story’s plot and its main idea is that plot organizes time and events while the main idea organizes theme. It is a useful tool for deriving the correlation between two variables. Readers find this graph easy to plot and understand. Now, we need to add a linear trendline in the scatter plot to show the correlation between the. If there is a positive or negative correlation, describe its meaning in the situation. A weak positive correlation is one where the relationship is weaker, such as shown in the following scatterplot: WeakPositiveCorrelation. Now, we need to add a linear trendline in the scatter plot to show the correlation between the. Thus one can say that a correlation coefficient will be positive or negative or 0. A positive correlation happens when, as your x values . 18 Nov 2015. Strong linear (negative correlation) Exact linear (positive correlation) Quadratic relationship, Exponential relationship, Sinusoidal relationship (damped) Variation of Y doesn't depend on X (homoscedastic) Variation of Y does depend on X (heteroscedastic) Outlier, Combining Scatter Plots,. Describing Scatter Plots. You can also click on search box and type “Scatter Plot” to quickly get your chart. How does scatter plot show correlation?. Scatter plots are really useful for graphically showing a bunch of data. View Scatter Plot 2. When there is a correlation, identify the relationship as linear or nonlinear. It represents how closely the two variables are connected. This is fairly self-explanatory, in a Positive Correlation, when one variable increases, a positive increase can be expected from the second variable. Several lines will now appear on your graph. Check out examples below. Add to FlexBook® Textbook. Scatter Diagrams are convenient mathematical tools to study the correlation between two random variables. In figures C and E, we have a perfect linear relationship. However, they have a positive correlation in both cases. 5) plot (x,y, ylim=c (0,30), pch=20) cor (x,y) [1] 0. Scatter Plot for Negative Correlation. Now select the Scatter chart. The pattern resembles a straight line. As one variable decreases, the other variable also decreases. To build a scatter plot, we require two sets of data where one set of arrays represents the x axis and the other set of arrays represents the y axis. Correlation · A positive correlation means that the two variables tend to increase together. There is a negative correlation between number of children a woman has and her life expectancy. answer choices 12 chapters 15 chapters 18 chapters 21 chapters Question 3 60 seconds Q. Scatter plots are made of marks; each mark shows to one member's measures on the factors that are on the x-axis and y-axis of the scatter plot. No correlation. You just need to define the aesthetics for x on the x-axis and y on the y-axis. Positive Correlation When the points in the graph are rising, moving from left to right, then the scatter plot shows a positive correlation. Positive Correlation Examples. If the data . Scatter plots with positive correlation. Things to look for: If the points cluster in a band running from lower left to upper right, there is a positive correlation (if x increases, y increases). Scatter plots allow you to compare two seemingly unrelated variables and determine the relationship between them. Correlation is a statistical measure that indicates the extent to which two or more variables fluctuate together. Positive correlation. A correlation exists between two variables when one of them is related to the other in some way. By displaying a variable in each axis, you can detect if a relationship or correlation between the two variables exists. These patterns help researchers to understand how one thing affects another. What is the correlation of this scatter plot? (Hint: Do not use the day on the scatter plot. 20 Aug 2018. Simple Linear Regression Fitting straight lines to data The Least Squares Line The Regression Line • When data is correlated it falls roughly about a straight line. The graph shows a positive correlation. 5, 1, and 0), type of correlation (positive, negative, none), and line of best fit. All you have to do is type your X and Y data and the scatterplot maker will do the rest. The correlation plot shows that the short-term, medium-term, and long-term interest rates are highly correlated. r = correlation coefficient for sample. The scatter diagram will show a picture of the correlation. Positive Correlation. A correlation between the variables results in the clustering of data points along a line. A scatter plot is a special type of graph designed to show the relationship between two variables. the best way to get a visual representation of the relations between your data is to draw a scatter plot with a trendline. Scatterplots display the direction, strength, and linearity of the relationship between two variables. Scatter plots are often used when studying the relationship between two variables. Positive correlation. direction (pos or neg) 2. A scatterplot displays data about two variables as a set of points in the xy xy -plane and is a useful tool for determining if there is a correlation between the variables. We can also observe an outlier point, a tree that has a much larger diameter than the others. Scatterplots are also known as scattergrams and scatter charts. A predictor is a function that takes in a value for one variable, and returns an estimate of a different variable, based on all the other points in the cloud. Scatter Plots Name_____ Date_____ Period____-1-State if there appears to be a positive correlation, negative correlation, or no correlation. Graph C is the correct scatter plot. Scatter plots can show various types of correlations between variables. In other words, individuals who are taller also tend to weigh more. Check it out!. A positive correlation is associated with a best-fit line that slants upward to the right, like that in Figure 1. Here's how: Select two columns with numeric data, including column headers. Predict the sales in 2001. The variables' values are represented by dots. hunter tcx50 price hull council tax number famous donkeys in history x is 1080p 1k x is. Perfect positive correlation is one where with the increase in one variable value the other variable value also increase such that the slope created as a result of this divides the quadrant at nearly 45 degrees. It's important to. We can use seaborn. 4-5 Scatter Plots and . The straight line is a trend line, designed to come as close as possible to all the data points. You can use a scatter plot to determine if there is a positive, negative, or no correlation between the given data. The Scatter Plot is best chart to show correlation between two or more variables. A Pearson correlation coefficient merely tells us if two variables are linearly related. Page 2. Scatter diagrams, strong and weak correlation, positive and negative correlation, lines of best fit, extrapolation and interpolation. 1: Correlation vs Causation. Make a scatterplot and use the equation of a trendline to interpolate and extrapolate. the best way to get a visual representation of the relations between your data is to draw a scatter plot with a trendline. Sign in to answer this question. Interpreting a scatterplot interpreting scatterplots good practice for data chapter School Best notes for high school - AU Degree Australian Capital Territory (ACT) Senior Secondary Certificate Grade 12 Course Further Mathematics- Unit 4 Uploaded by MW Misha Wie Academic year2021/2022 Helpful? 00 Comments Please sign inor registerto post comments. This can lead to all kinds of breakthroughs! This tutorial gives you a look at the scatter plot. Here's how: Select two columns with numeric data, including column headers. These are below: Scatter Diagram with Strong Positive Correlation Scatter Diagram with Weak Positive Correlation. Look at the graph and find the line that best fits the data. Now, we need to add a linear trendline in the scatter plot to show the correlation between the. ρ = correlation coefficient for population. These patterns help researchers to understand how one thing affects another. Google Classroom. What is correlation?. A note on terminology: If a scatterplot is said to show a "high" or "strong" positive correlation, this does not mean that a straight line drawn amongst the dots (being a guess as to where the dots "ought" to be, were life not so messy) would have a high-number positive slope; instead, it means that the dots are closely clustered on or near the line drawn through the dots, so that the match of the dots to the line looks to be fairly strong. Also known as a Scatter Graph, Point Graph, X-Y Plot, Scatter Chart or Scattergram. A Scatter Plot cannot be drawn without paired data values. In a study of chimpanzees it was found there was a positive correlation between tallness and intelligence. The Scatter Plot • The scatter diagram for the temperature versus strength data allows us to deduce the nature of the relationship between these two variables 120 130 140 150 160 170 60 50 40. The maximum possible positive correlation is +1 or +100%, when all the points in a scatter plot lie exactly along a straight line with a positive slope. Scatter plot with different color for each category. When small x-values correspond to large y-values, and large x-values correspond to small y-values (line sloping down), this indicates. Take a look! What's a Scatter Plot? Scatter plots are really useful for graphically showing a bunch of data. A negative correlation depicts a downtrend. The Scatter Plot • The scatter diagram for the temperature versus strength data allows us to deduce the nature of the relationship between these two variables 120 130 140 150 160 170 60 50 40. . house rentals in fresno, 1130 cet, craigslist nc sanford, cute pornstar, cse 150 ucsc, gay pormln, karely ruiz porn, part time jobs rockford il, silver daddy gayporn, round white pill with a on it, what to say when a girl asks to hang out, what does at parents birth mean on passport application co8rr