Suppose the following data were collected from a sample of 1515 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+eiSALARY�=�0+�1EXPERIENCE�+�2SERVICE�+�3INDUSTRIAL�+��. Is there enough evidence to support the claim that on average, CEOs in the industrial sector have lower salaries than CEOs in the financial sector at the 0.010.01 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) 155200155200 2020 11 00 00 179715179715 1818 00 00 11 171750171750 3131 11 00 00 187075187075 2121 00 00 11 151550151550 1717 11 00 00 217262217262 3030 00 00 11 159900159900 2222 00 11 00 173600173600 3232 00 11 00 170250170250 3131 00 11 00 146700146700 1212 00 11 00 142063142063 1111 11 00 00 157894157894 1111 00 00 11 147750147750 1414 11 00 00 159538159538 2323 00 11 00 182705182705 1818 00 00 11
Suppose the following data were collected from a sample of 1515 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+eiSALARY�=�0+�1EXPERIENCE�+�2SERVICE�+�3INDUSTRIAL�+��. Is there enough evidence to support the claim that on average, CEOs in the industrial sector have lower salaries than CEOs in the financial sector at the 0.010.01 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) 155200155200 2020 11 00 00 179715179715 1818 00 00 11 171750171750 3131 11 00 00 187075187075 2121 00 00 11 151550151550 1717 11 00 00 217262217262 3030 00 00 11 159900159900 2222 00 11 00 173600173600 3232 00 11 00 170250170250 3131 00 11 00 146700146700 1212 00 11 00 142063142063 1111 11 00 00 157894157894 1111 00 00 11 147750147750 1414 11 00 00 159538159538 2323 00 11 00 182705182705 1818 00 00 11
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Suppose the following data were collected from a sample of 1515 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+eiSALARY�=�0+�1EXPERIENCE�+�2SERVICE�+�3INDUSTRIAL�+��.
Is there enough evidence to support the claim that on average, CEOs in the industrial sector have lower salaries than CEOs in the financial sector at the 0.010.01 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) |
|---|---|---|---|---|
| 155200155200 | 2020 | 11 | 00 | 00 |
| 179715179715 | 1818 | 00 | 00 | 11 |
| 171750171750 | 3131 | 11 | 00 | 00 |
| 187075187075 | 2121 | 00 | 00 | 11 |
| 151550151550 | 1717 | 11 | 00 | 00 |
| 217262217262 | 3030 | 00 | 00 | 11 |
| 159900159900 | 2222 | 00 | 11 | 00 |
| 173600173600 | 3232 | 00 | 11 | 00 |
| 170250170250 | 3131 | 00 | 11 | 00 |
| 146700146700 | 1212 | 00 | 11 | 00 |
| 142063142063 | 1111 | 11 | 00 | 00 |
| 157894157894 | 1111 | 00 | 00 | 11 |
| 147750147750 | 1414 | 11 | 00 | 00 |
| 159538159538 | 2323 | 00 | 11 | 00 |
| 182705182705 | 1818 | 00 | 00 | 11 |
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