Quantitative Analysis Bivariate Pearson, Spearman Correlations, and Linear Regression

September 24, 2024September 24, 2024 Discipline: Business and Management

PLEASE USE THE SAMPLE ESSAY AND REWRITE. YOU CAN USE THE SAME DATA PROVIDED IN THE SAMPLE ESSAY. 

Using the CollegeStudentData.sav set (see Appendix A on how to retrieve it), do the following problems. Print your outputs after typing your interpretations on them. Please circle the key parts of the output that you discuss.

 

8.1 What is the correlation between student’s height and parent’s height? Also produce a scatterplot. Interpret the results, including statistical significance, direction, and effect size.

 

 

8.2 Write a question that can be answered via correlational analysis with two approximately normal or scale variables. Run the appropriate statistics to answer the question. Interpret the results.

 

 

8.3 Make a correlation matrix using at least four appropriate variables. Identify, using the variable names, the two strongest and two weakest correlations. What were the r and p values for each correlation? 

 

8.4 Is there a combination of gender at birth and same-sex parent’s height that significantly predicts student’s height?

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