JASP Quantitative - Heavy Data Analysis

  1. Use this Kaggle dataset https://www.kaggle.com/datasets/uciml/student-alcohol-consumption 2. Select a variable to be used as the Response Variable. List it here. 3. Select three continuous variables to serve as explanatory variables 4. Generate a Numerical Summaries table, Correlation table, and histogram on each interval. (Interpret Model 2 row in JASP) 5. Run the multiple regression and report the 3 regression output tables 6. Interpret R, Adjusted R square values 7. Interpret p-value from Regression table 8. Interpret p-values from Coefficient table 9. Check VIF (collinearity diagnostics) and Durbin-Watson and interpret 10.Check residuals vs predicted plot. Interpret 11.Check residuals histogram. interpret 12.Use a variable selection process (stepwise, forward, etc …) , indicate which process you used, to remove explanatory variables. 13.Show all 3 final regression output tables after the variable selection process has completed. Interpret relevant statistics within the tables