c) Using your output from b), compute the difference in estimated salary between the finance and consumer products (consprod) industries (holding sales and roe fixed).
please answer C using the ols regression below
Regression Statistics | |
Multiple R | 0.267775 |
R Square | 0.0717035 |
Adjusted R Square | 0.048839 |
Standard Error | 1338.4138 |
Observations | 209 |
Coefficients | Standard Error | t Stat | P-value | |
Intercept | 943.96997 | 289.3127612 | 3.262801 | 0.001294 |
sales | 0.0129842 | 0.008936132 | 1.453 | 0.147768 |
roe | 4.9971073 | 12.48281546 | 0.400319 | 0.689343 |
finance | 253.46296 | 260.4732312 | 0.973086 | 0.331668 |
consprod | 560.323 | 246.8522226 | 2.269872 | 0.024266 |
utility | -320.84965 | 290.8800298 | -1.10303 | 0.27132 |
The independent variable finance is equal to 1 for finance while the independent variable consprod is equal to 1 for consumer products .
Holding the ROE and sales constant, the difference in estimated salary between the finance and consumer products here is computed as:
= Coefficient of finance - Coefficient of consumer products
= 253.46296 - 560.323
= -306.86004
Therefore $306.86 is the required difference here, consumer products salary is expected to be $306.86 more than finance.
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