Jasp quantitative – heavy data analysis

FIRST ONE!!

Use JASP for this investigation

Tables, charts, and graphs should be APA formatted as expected. Copy and paste the numerical prompts below into your submission document and record your responses directly beneath. Include the following in your submission:

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

14.Report final regression equation

SECOND ONE!!!!

Your report is a continuation on your work with questions above. Complete in JASP.  APA formatting is expected. Use the same dataset as used with the final

1) Select 1 variable as the response variable. Select one continuous and one categorical variable as explanatory variables. Report your variable choices.

Compute and interaction term , in JASP, by multiplying together the categorical variable with the continuous variable independent variable.

You will use both independent variables and the computer interaction term in the regression analysis

Complete the following:

1) Run a regression test. Report all 3 output tables

2) Is there an interaction effect detected? Explain

3) Run the analysis without the interaction term. Report the 3 resulting regression tables

4) How has the output changed? (R, Adjusted R squared, ANOVA table p-value, and Coefficient table p-values)

THIRD ONE!!!

Your Final presentation is to be a collection of presentation slides that report on the work completed  and final report. 

Please use Powerpoint. 

Submit all tables and charts generated or created for the questions and final report. Font size of 18 pt or higher. Use a colorful design theme for your presentation. APA formatting expected

Your presentation slides are to include (title each slide so that it is clear what you are presenting):

1.  Title Slide

2. slide of each table and chart reported

will need notes for each page for presentation. 

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