Question

In: Statistics and Probability

Suppose the following data were collected from a sample of 15 CEOs relating annual salary to...

Suppose the following data were collected from a sample of 15 CEOs relating annual salary to years of experience and the economic sector their company belongs to. Use statistical software to find the following regression equation:

SALARYi=b0+b1EXPERIENCEi+b2SERVICEi+b3INDUSTRIALi+ei

Is there enough evidence to support the claim that on average, CEOs in the service sector have lower salaries than CEOs in the financial sector at the 0.01 level of significance? If yes, write the regression equation in the spaces provided with answers rounded to two decimal places. Else, select "There is not enough evidence."

Copy Data

CEO Salaries
Salary Experience Service (1 if service sector, 0 otherwise) Industrial (1 if industrial sector, 0 otherwise) Financial (1 if financial sector, 0 otherwise)
144225 10 1 00 00
187765 20 00 00 1
142500 6 1 00 00
169650 28 1 00 00
167250 31 00 1 00
189145 20 00 00 1
175000 16 00 00 1
147925 14 00 1 00
142800 00 00 00 1
156200 20 1 00 00
147750 14 00 1 00
127600 2 00 1 00
140887 7 00 1 00
163875 31 1 00 00
186730 19 00 00 1

Solutions

Expert Solution

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.963722812
R Square 0.928761658
Adjusted R Square 0.909333019
Standard Error 5852.693459
Observations 15
ANOVA
df SS MS F Significance F
Regression 3 4912411252 1.64E+09 47.80374 1.33964E-06
Residual 11 376794228 34254021
Total 14 5289205480
Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept 154891.50 3608.389733 42.92538 1.34E-13 146949.4844 162833.5089
Experience 1426.43 165.5921673 8.614137 3.21E-06 1061.967655 1790.89946
Service -26703.73 3760.364416 -7.10137 1.99E-05 -34980.24051 -18427.22795
Industrial -28008.59 3708.820971 -7.55189 1.13E-05 -36171.65294 -19845.5331

The p-value for the test of the significance of slope for Service independent variable is less than 0.01. Hence, we can conclude that Service has a significant effect on the Salary at the 0.01 significance level.

The coefficient of slope corresponding to Service is -26703.73. Hence, when service=0, the mean of the salary is increased by 26703.73. Therefore, CEOs in the service sector have lower salaries than CEOs in the financial sector at 0.01 level of significance.

The regression equation is
Salary = 154891.50+ 1426.43 Experience - 26703.73 Service -28008.59 Industrial


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