Assignment 2: Regressions Subjects took two questionnaires. First, they lled out a survey rating 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. Include the appropriate output into this document while answering the questions. You can also upload your excel le for data screening, which will help us gure out what happened if your answers are incorrect. In the assignment, you will delete people [the whole row} ifthey should be excluded. IV: 0 Control variables: Age, gender (1=female, 2=male} - Experimental manipulation: priming type (1=meaningful, 2=p|easantness) - Education words averaged (i.e., accomplish, College, Degree, Education, Grades, Graduate, School, Teacher, Undergrad, University} 0 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} 0 Religion words averaged (i.e., serve, glorify} DV: - PIL total scores on the purpose in life questionnaire Research Question: The hypothesis is that word ratings would predict scores on the 3|L questionnaire in some way. For the analyses, rst control for demographics (step 1}, then priming type (step 2), then use the average of their word ratings [step 3) to predict the PIL total (D'v'ji. Accuracy: 1. Include a summary table showing you doIdo not have out of range scores. 2. If necessary, x the out of range scores. a. Indicate what the problems were in the dataset. b. Make all out of range values NA. c. Include a summary table showing that you xed the accuracy issues (i.e. rerun the descriptive statistics and show the min and max are correct}