A study was conducted to determine if a person’s agreeability (whether they are
ID: 2910047 • 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 C: Least Squares Linear Regression of Income
Predictor
Variables Coefficient Std Error T P
Constant 40977.1 8788.81 4.66 0.0000
Agree -5479.36 2643.95 -1.07 0.2409
Gender 54225.1 12988.7 4.17 0.0001
x1x2 -8708.14 3934.83 -2.21 0.0293
R² 0.7626 Mean Square Error (MSE) 6.047E+07
Adjusted R² 0.7552 Standard Deviation 7700.00
Source DF SS MS F P
Regression 3 1.865E+10 6.217E+09 102.50 0.0000
Residual 96 5.805E+09 6.047E+07
Total 99 2.446E+10
Suppose it was desired to estimate the average income for all females who have an agreeability score of 5.0. How should the researcher proceed?
Interpret the R2 value in the model and apply it to that person.
Interpret the R2 value in the model and apply it to that person.
Explanation / Answer
There is no need of calculating rsquare for prediction ..
F test is also not required
Yes this option is the right option for average we need to calculate /create 95 % confidence interval for E(Y) when x1=5.0 and dummy variable x2=0
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