A study was conducted to determine if a person’s agreeability (whether they are
ID: 2910051 • Letter: A
Question
A study was conducted to determine if a person’s agreeability (whether they are generally an agreeable person or not) affects their income level. It also looked at the person’s gender to see if it was a factor as well. The variables are shown below:
Income: y = annual income in dollars
Agree: x1 = agreeability level with higher scores indicating a person is more aggregable and lower scores indicating less agreeable
Gender: x2 = 1 if male, 0 if female
Use the following information to answer the multiple regression questions.
Printout A: Pairwise Correlations:
Income Agree
Agree -0.2785 1.0000
Gender 0.8327 -0.0478
Printout B: Best Subset Regression Models for Income
Forced Independent Variables: (A)Agree (B)Gender (C)x1x2
Unforced Independent Variables: (D)x1sq (E)x1sqx2
Adjusted AICc -
P Cp R Square Min AICc Resid SS F P(F) Variables
4 4.6 0.7552 1798.32 5.805E+09 A B C
5 4.0 0.7593 1797.84 5.648E+09 2.64 0.1075 A B C D
5 5.3 0.7560 1799.22 5.726E+09 1.30 0.2568 A B C E
6 6.0 0.7568 1800.15 5.648E+09 3.31 0.0356 A B C D E
Cases Included 100 Missing Cases 0
Fill in the blank. The results shown on Printout B above lead us to conclude that there is (at alpha=.05).
insufficient evidence of curvature relating income to agreement score.
insufficient evidence of a statistically useful model for income.Explanation / Answer
Answer:
Insufficient evidence of curvature relating income to agreement score.
Reason:
Based on the R-sq, we can see Variable A B C is enough to explain 75.5% variability of Y. Addition of other variables does not make much difference in R-sq. Also, AIC value for A B C is similar to other models.
Also, the correlation matrix tells that the income is highly correlated with gender but not with Agreeability.
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