Please use JASP software to answer statistics and explain

First, participants were asked to rate a series of different words on their meaningfulness or pleasantness. Scores for both questionnaires were rated on a Likert scale from 1 (not meaningful, not pleasant) to 5 (very meaningful, very pleasant). Once the ratings were obtained, the researchers grouped these words into sets based on previous research. This produced four sets of words: Education words, Goal words, Noun words, and Religion words. The data set provided contains the average ratings for the words by set. These same participants then completed a "purpose in life questionnaire" (PIL), where the scores on questions were totaled for each participant.

IV:

• Control variables: Age, gender (1=female, 2=male)
• Experimental manipulation: priming type (1=meaningful, 2=pleasantness)
• Education words averaged (i.e., accomplish, College, Degree, Education, Grades, Graduate, School, Teacher, Undergrad, University)
• Goals words averaged (i.e., achieve, ambition, become, goals, progress, success)
• Nouns words averaged (i.e., everything, know, lot, many, mind, much, right, some, something, thing, time, what, when)
• Religion words averaged (i.e., serve, glorify)

DV: PIL total - sum of scores on the purpose in life questionnaire

Research Question:We would like to test whether word ratings predict scores on the PIL questionnaire, above and beyond control variables and experimental manipulation. HINT: To test this, you will need regression model that includes demographics and priming type (the null model) as the sole predictors, as well as a second regression model that includes actual predictor variables in addition to the controls (the regression model).

Question2

Please answer the following questions in regards to the accuracy of the data:

1. How many univariate outliers are present on the dependent variable?
2. Which subject(s) have the univariate outlier values identified in part b? (list them in ascending order, e.g. if Subject 10 and 21 were outliers, write "10 21" in the box but if no outliers are present write "0" in the box)

Question3

Include all the Pearson's r correlations for the following variable pairs, limit your answers to exactly 3 decimals:

• Age and Education:
• Age and Goals:
• Age and Nouns:
• Age and Religion:
• Education and Goals:
• Education and Nouns:
• Education and Religion:
• Goals and Nouns:
• Goals and Religion:
• Nouns and Religion:

1. Is the assumption of additivity met?s
2. Justify your decision:

Question4

( how to get the cook's distance on JASP. If you can, please show picture)

Using the regression model (not the null model), what is the cut off using Cook's Distance for isolating cases that are too far from the regression line (rounded to exactly 3 decimals):

Please identify correctly using Cook's Distance, the cases (Subject numbers in ascending order) that are too far from the regression model (not the null).

Question5

What does this tell us about linearity and homoscedasticity