Consider an equation to explain salaries of CEOs in terms of annual firm sales, return on equity (roe, in percentage form), and return on the firm's stock (ros, in percentage form): log(salary) = Po + P₁ log(sales) + B₂roe + B3ros + μ Using the data in CEOSAL1, the following equation was obtained by OLS: log(salary) = 4.32 +0.28 log(sales) + 0.0174roe + 0.00024ros (0.0041) (0.00054) (0.32) (0.035) n = 209, R² = 0.283
Consider an equation to explain salaries of CEOs in terms of annual firm sales, return on equity (roe, in percentage form), and return on the firm's stock (ros, in percentage form): log(salary) = Po + P₁ log(sales) + B₂roe + B3ros + μ Using the data in CEOSAL1, the following equation was obtained by OLS: log(salary) = 4.32 +0.28 log(sales) + 0.0174roe + 0.00024ros (0.0041) (0.00054) (0.32) (0.035) n = 209, R² = 0.283
Chapter6: Exponential And Logarithmic Functions
Section: Chapter Questions
Problem 33PT: Enter the data from Table 2 into a graphing calculator and graph the ranking scatter plot. Determine...
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Test the null hypothesis that ros has no effect on salary against the alternative that ros has a positive effect. Carry out the test at the 10% significance level. Hint use t distribution with df = ∞,
![Consider an equation to explain salaries of CEOs in terms of annual firm sales, return on equity (roe,
in percentage form), and return on the firm's stock (ros, in percentage form):
log(salary) = Po + P₁ log(sales) + B₂roe + B3ros + μ
Using the data in CEOSAL1, the following equation was obtained by OLS:
log(salary) = 4.32 +0.28 log(sales) + 0.0174roe + 0.00024ros
(0.0041) (0.00054)
(0.32) (0.035)
n = 209, R² = 0.283](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe4308051-3fa8-43dc-a7a9-052a1b27bb47%2Fee09b337-2878-4e26-93d7-2b67f958018d%2F8x6h5u_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Consider an equation to explain salaries of CEOs in terms of annual firm sales, return on equity (roe,
in percentage form), and return on the firm's stock (ros, in percentage form):
log(salary) = Po + P₁ log(sales) + B₂roe + B3ros + μ
Using the data in CEOSAL1, the following equation was obtained by OLS:
log(salary) = 4.32 +0.28 log(sales) + 0.0174roe + 0.00024ros
(0.0041) (0.00054)
(0.32) (0.035)
n = 209, R² = 0.283
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