Use theCollege Surveydataset for these analyses.Before you begin the data analyses, take some time to look through the dataset to familiarize yourself with the variables and the raw data.

First, you are going to test the research hypothesis thatcollege students who report having more close friends tend to spend more evenings during the semester socializing with friends.

Things to do...

1. Consider the RH- Does this research hypothesis suggest a positive, a negative, or no relationship between the variables?
2. Examine the Scatterplot- putting number of evenings socializing on Y-axis and number of close friends on the X-axis (Use the Scatterplot guide to help you)
3. Ask yourself -Is the relationship clearly nonlinear?What would we do (or not do) if there was a non-linear relationship?Does the direction of the scatterplot seem to support the RH?
4. Statistical analyses- follow the SPSS guide for running a Pearson's correlation to determine if there is a relationship between these two variables. Report data below (2 decimal places for all statistics, except the p-value, which has 3 decimal places).

Provide the univariate statistics for # of nights socializing: Mean = , SD = , N =

Provide the univariate statistics for# of friends:Mean = , SD = , N =

Provide the inferential statistics: r = , df= , p =

Will you retain or reject the null hypothesis?

Is there support (yes or no) for the research hypothesis?

(In support of / Contrary to) the research hypothesis, there was (no / a positive / a negative) linear relationship between number of (M = ,SD = ) and number of (M= ,SD= ), r() = ,p = .