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A study was conducted to determine if a person\'s agreeability (whether they are

ID: 2910076 • 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, O if female Use the following information Printout C: Least Squares Linear Regression of Income to answer the multiple regression questions. Predictor Variables Coefficient Std Error T P Constant Agree Gender x1x2 40977.1 8788.81 4.66 0.0000 5479.36 2643.95 1.07 0.2409 4225.1 12988.7 4.17 0.0001 -8708.14 3934.83 2.21 0.0293 Ra 0.7626 Mean Square Error (MSE 6.047E+07 Adjusted R 0.7552 Standard Deviation 7700.00 Source Regression Residual Total DF SS MS 3 1.865E+10 6.217E+09 102.50 0.0000 96 5.805E+09 6.047E+07 99 2.446E+10 As part of our residual analysis, we desire to take a look at what the plot of our best model looks like. Which residual plot would be the appropriate plot to look at? O Plot the residuals vs. the y-hat values O Plot the residuals vs. the agreeability levels ? Plot the y-hat values vs. the agreeability levels Create a stem-and-leaf plot of the residuals.

Explanation / Answer

As part of residual analysis, we desire to take a look at plot of the residual Vs y hat values. The residuals to corresponding y hat values should be close to zero so as to decide it as best fit .

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