### Question details

For 6-12, refer to the attached regression output
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# For 6-12, refer to the attached regression output

For 6-12, refer to the attached regression output.  Here we are using years of experience, college GPA, and company entrance score to predict employee salaries at a local firm.

We would conclude that the overall model (using all three explanatory variables) is statistically significant at the .05 level.  (2)

1. true
2. false

None of the explanatory variables are useful predictors.  (2)

true

false

The most useful predictor in the presence of the other explanatory variables is __________.  (2)

Multicollinearity is  (3)

severe.

mild.

nonexistent.

Which of the following combinations would be expected to yield the highest pay?  Values are years, GPA, and score.  (2)

5, 3.7, 80

7, 3.2, 85

8, 3.6, 85

5, 3.8, 85

Regression Output

 SUMMARY OUTPUT 1 Regression Statistics Multiple R 0.686507 R Square 0.4712919 Adjusted R Square 0.3655502 Standard Error 18.962716 Observations 19 ANOVA df SS MS F Significance F Regression 3 4808.020459 1602.673 4.457014 0.019857133 Residual 15 5393.769015 359.5846 Total 18 10201.78947 Coefficients Standard Error t Stat P-value Intercept -59.69295 38.48117376 -1.55122 0.141687 Years -0.510186 1.100900645 -0.46343 0.649712 GPA 24.510667 12.31973076 1.989546 0.065194 Score 0.7600061 0.295486746 2.572048 0.021248 Correlation Matrix Salary Years GPA Score Salary 1 Years 0.192517816 1 GPA 0.484367567 0.280138 1 Score 0.575980821 0.341399 0.226652 1 SUMMARY OUTPUT 2 Regression Statistics Multiple R 0.5759808 R Square 0.3317539 Adjusted R Square 0.2924453 Standard Error 20.025434 Observations 19 ANOVA df SS MS F Significance F Regression 1 3384.483506 3384.484 8.43973 0.009855012 Residual 17 6817.305968 401.018 Total 18 10201.78947 Coefficients Standard Error t Stat P-value Intercept 8.103183 18.48029361 0.438477 0.666562 Score 0.8430371 0.290189996 2.905121 0.009855

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• For 6-12, refer to the attached regression output
\$14.99

For 6-12, refer to the attached regression output Pin It For 6-12, refer to the attached regression output. H

Submitted on: 03 Jul, 2016 12:45:43 This Solution has been Purchased: 1 times
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