IBM SPSS (version 20 or higher) software is required for this assignment. This assignment has 2 parts: Part 1: Part 2: 6. Run a correlation to determine parallel forms reliability. What is r? 7. Are the results sufficient to establish parallel forms reliability? How do you know? Explain your answer. The output should contain the correlation matrix. Requirements: Needs to be in a Word document. Correlate the variables in the data set. Based on the output, what is r? (Record the response in a Word doc.) Create a scatterplot that visually depicts the correlation. Save the SPV output file. Note the output should contain both the correlation matrix and the scatterplot.In your Word document, answer the questions below: Describe the nature of the relationship between the two variables. (For example, as variable 1 increases so does variable 2). Indicate whether the relationship is positive or negative AND direct or indirect? (Make sure to include the names of the variables within your responses. Referring to the variables as variable 1 or variable 2 is not sufficient. I will deduct points from your assignment for not including the names.) Would you consider the correlation to be strong? Why or Why not? Using r2, how much of the variance in variable 1 can be explained by the variance in variable 2? Make sure to include to names of the variables in your response. Correlate the variables in the data set. Based on the output, what is r? (Record the response in a Word doc.)

Create a scatterplot that visually depicts the correlation. Save the SPV output file. Note the output should contain both the correlation matrix and the scatterplot.In your Word document, answer the questions below:

Describe the nature of the relationship between the two variables. (For example, as variable 1 increases so does variable 2). Indicate whether the relationship is positive or negative AND direct or indirect? (Make sure to include the names of the variables within your responses. Referring to the variables as variable 1 or variable 2 is not sufficient. I will deduct points from your assignment for not including the names.)

Would you consider the correlation to be strong? Why or Why not?

Using r2, how much of the variance in variable 1 can be explained by the variance in variable 2? Make sure to include to names of the variables in your response.