Question: An Overview of the Data Set This data set represents hypothetical data from a study that examined how well some core personality traits predict a
An Overview of the Data Set
This data set represents hypothetical data from a study that examined how well some core personality traits predict a person's popularity level. Personality was measured using the Big Five, a commonly used measure of personality.
Here is some more information about the variables in this hypothetical data set:
- Number:Theparticipant's ID number
- Sex: The participant's sex, with one standing for male and two standing for female
- Age: College year of the participant, with one standing for freshman, two standings for sophomore, etc.
- Popularity:Popularity measured with a questionnaire that could range from 0 to 100, with higher numbers indicating greater popularity
- Extroversion:A Big Five trait indicating the level of sociability (scores range from 1 to 5, with high numbers indicating extroversion and low numbers indicating introversion)
- Agreeableness:A Big Five trait indicating the level of interpersonal warmth and friendliness (scores range from 1 to 5, with high numbers indicating warmth and low numbers indicating coldness toward others)
- Conscientiousness:A Big Five trait indicating the level of self-control and responsibility (scores range from 1 to 5, with high numbers indicating high conscientiousness and low numbers indicating low conscientiousness)
- Neuroticism:A Big Five trait indicating the level of anxiety and emotional stability (scores range from 1 to 5, with high numbers indicating high neuroticism and low numbers indicating low neuroticism)
- Openness:A Big Five trait indicating the level of creativity and willingness to try new things (scores range from 1 to 5, with high numbers indicating high open-mindedness and low numbers indicating closed-mindedness)
Data:
1.00 2.00 2.00 53.00 3.50 4.11 3.44 3.88 3.20 2.00 2.00 3.00 24.00 3.00 4.78 3.89 3.97 3.90 3.00 2.00 3.00 23.00 2.38 1.78 4.11 3.50 3.40 4.00 1.00 1.00 67.00 3.75 3.11 3.33 1.88 3.60 5.00 2.00 1.00 67.00 4.38 3.67 3.78 2.38 4.30 6.00 2.00 1.00 45.00 2.50 1.67 3.33 4.63 3.20 7.00 2.00 2.00 86.00 4.50 3.68 2.67 1.75 2.90 8.00 2.00 1.00 35.00 3.50 3.89 4.44 2.38 3.50 9.00 1.00 2.00 34.00 2.75 4.33 4.56 2.13 3.40 10.00 2.00 2.00 56.00 3.63 4.22 4.11 2.25 2.80 11.00 1.00 1.00 74.00 3.60 3.11 2.78 2.74 2.20 12.00 2.00 1.00 34.00 4.00 2.65 3.33 4.50 4.70 13.00 2.00 1.00 56.00 3.00 3.00 3.11 3.25 3.30 14.00 1.00 1.00 45.00 2.63 3.22 3.67 2.38 3.30 15.00 2.00 1.00 75.00 3.70 4.00 3.33 2.13 3.20 16.00 2.00 1.00 62.00 2.00 4.33 3.22 3.75 2.90 17.00 2.00 1.00 49.00 3.50 4.33 3.44 3.88 3.70 18.00 2.00 1.00 50.00 3.75 3.56 3.67 4.13 3.60 19.00 1.00 1.00 40.00 3.50 2.89 2.56 3.25 4.00 20.00 2.00 1.00 46.00 4.50 3.00 3.33 3.38 4.20 21.00 2.00 1.00 93.00 4.88 4.78 3.44 1.45 4.30 22.00 1.00 3.00 41.00 3.38 4.89 3.78 1.25 3.90 23.00 2.00 4.00 55.00 3.38 4.22 3.89 2.38 3.80 24.00 1.00 2.00 69.00 4.63 3.22 4.67 2.00 3.70 25.00 2.00 1.00 36.00 3.50 4.22 3.44 3.38 3.50 26.00 1.00 1.00 74.00 4.75 4.56 3.78 2.00 3.60 27.00 2.00 1.00 52.00 4.38 3.78 3.33 3.25 4.10 28.00 2.00 1.00 19.00 3.25 2.65 3.44 4.65 3.90 29.00 2.00 4.00 62.00 3.50 3.78 3.67 2.50 3.40 30.00 1.00 1.00 44.00 3.75 3.89 3.67 2.25 4.00 31.00 2.00 1.00 96.00 4.38 4.89 4.56 1.00 4.50 32.00 2.00 1.00 34.00 3.50 4.33 3.00 3.50 3.10 33.00 2.00 2.00 86.00 3.13 4.89 3.67 2.13 4.00 34.00 2.00 2.00 57.00 3.50 4.00 3.11 3.00 3.70 35.00 2.00 4.00 62.00 2.88 4.12 3.22 2.82 3.30 36.00 1.00 2.00 39.00 3.88 3.56 2.67 1.88 2.90 37.00 2.00 1.00 67.00 3.38 3.56 3.11 3.13 3.60 38.00 1.00 1.00 44.00 2.23 4.11 3.00 1.50 2.90 39.00 1.00 2.00 32.00 4.12 3.33 3.00 2.75 3.70 40.00 1.00 1.00 32.00 1.37 2.89 4.67 1.75 3.40 41.00 1.00 1.00 44.00 4.34 2.56 3.67 2.25 4.60 42.00 2.00 1.00 58.00 2.43 3.22 3.78 3.38 2.20 43.00 2.00 2.00 46.00 3.56 4.78 5.00 2.63 4.00
Questions
1) Describe in your own words what type of research situations require a researcher to use multiple-regression analysis.
[Insert your answer.]
2a) Run a basic correlation matrix for the popularity, extraversion, agreeableness, conscientiousness, neuroticism,and opennessvariables.
[Paste your output.]
2b) Based on these results, which personality variables are significantly correlated with popularity?
[Insert your answer.]
3a) Conduct a multiple-regression analysis using extraversion, agreeableness, conscientiousness, neuroticism,and opennessas predictors of popularity.
[Paste your output.]
3b) Which variables are significant predictors of popularity? Compare and contrast the results from the multiple-regression analysis with the basic correlation results from question 2b.
[Insert your answer.]
3c) What is the R-squared of this model, and what does it tell us about how well this model predicts popularity?
[Insert your answer.]
3d) Write the results of the multiple regression in APA style. For help, refer to the Regression section in thisReporting Statistics in APA Format document.
[Insert your answer.]
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