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. Which of the following is the best equation to use relating salary to experience and business sector?
Salary | Experience | Service (1 if service sector, 0 otherwise) | Industrial (1 if industrial sector, 0 otherwise) | Financial (1 if financial sector, 0 otherwise) |
---|---|---|---|---|
154800154800 | 2020 | 11 | 00 | 00 |
151462151462 | 1717 | 00 | 11 | 00 |
190295190295 | 2020 | 00 | 00 | 11 |
155025155025 | 2222 | 11 | 00 | 00 |
166605166605 | 1212 | 00 | 00 | 11 |
161412161412 | 2727 | 11 | 00 | 00 |
143000143000 | 99 | 00 | 11 | 00 |
150850150850 | 22 | 00 | 00 | 11 |
136050136050 | 77 | 00 | 11 | 00 |
166806166806 | 1313 | 00 | 00 | 11 |
142188142188 | 1111 | 11 | 00 | 00 |
204612204612 | 2626 | 00 | 00 | 11 |
148475148475 | 1515 | 11 | 00 | 00 |
150000150000 | 1616 | 00 | 11 | 00 |
162375162375 | 2525 | 00 | 11 | 00 |
SALARYi=b0+b1INDUSTRIALi+b2FINANCIALi+b3SERVICEi+ei
SALARYi=b1INDUSTRIALi+b2FINANCIALi+b3SERVICEi+ei
SALARYi=b0+b1EXPERIENCEi+b2INDUSTRIALi+b3FINANCIALi+b4SERVICEi+ei
SALARYi=b1EXPERIENCEi+b2INDUSTRIALi+b3FINANCIALi+ei
SALARYi = b0 + b1 EXPERIENCEi + b2 INDUSTRIALi + b3 FINANCIALi + b4 SERVICEi + ei
Because we have 4 variables, hence we would require 4 regression coefficients + 1 intercept + 1 error term.
The 4 regression coefficients correspond to experience and the 3 economic sectors.
Suppose the following data were collected from a sample of 15 CEOs relating annual salary to...
The Department of Energy provides fuel economy ratings for all cars and light trucks sold in the United States. The table contains the estimated miles per gallon for city driving for the 186186 cars classified as midsize in 2016, arranged in increasing order. 1111 1111 1111 1212 1313 1313 1313 1414 1414 1414 1414 1414 1515 1515 1515 1515 1515 1515 1616 1616 1616 1616 1616 1616 1616 1616 1616 1616 1616 1616 1616 1717 1717 1717 1717 1717 1717...
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 industrial sector have lower salaries than CEOs in the financial sector at the 0.05 level of significance? If yes, write the regression equation in the spaces provided with...
Suppose the following table was generated from the sample data of 20 teachers relating annual salary to months of teaching experience and gender. Coefficients Standard Error t Stat P-Value 7985.439824 304.553861 124.724867 0.000000 6.958001 11.888299 0.000000 Male (1 If male, 0 if female) 1420.439875 218.999146 6.486052 0.000006 Intercept 82.718798 Months of Experience Step 1 of 2: In this regression equation, what is the intercept value for women? Enter your answer in the space provided. Do not round your answer. 2...
Suppose the following table was generated from the sample data of 2020 employees relating annual salary to years of education and gender. According to the results, is there a salary difference between men and women at the 0.050.05 level of significance? If yes, write the difference in salary in the space provided, rounded to two decimal places. Else, select "There is not enough evidence." Coefficients Standard Error t Stat P-Value Intercept −8619.401339−8619.401339 3672.4312293672.431229 −2.347056−2.347056 0.0312940.031294 Education 3622.7871453622.787145 231.963588231.963588 15.61791315.617913 0.0000000.000000...