4. A company has recorded data on the daily demand for its product (y in thousands of units) and the unit price (x in hundreds of dollars). A sample of 15 days demand and associated prices resulted in the following data. Ey=135 Ey²= 1315 Exy=616 Ex=75 Ex² = 469 a. What are the intercept and slope of estimated regression equation b. how do you interpret the intercept and slope of the estimated regression equation? c. Compute SSE, SST, and SSR.

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4.
A company has recorded data on the daily demand for its product (y in
thousands of units) and the unit price (x in hundreds of dollars). A sample of 15
days demand and associated prices resulted in the following data.
Ex² = 469 Ey=135 Ey=1315 Σxy=616
Σ x = 75
a. What are the intercept and slope of estimated regression equation
b. how do you interpret the intercept and slope of the estimated regression
equation?
c. Compute SSE, SST, and SSR.
d. Compute the coefficient of determination r2. Comment on the
goodness of fit.
Transcribed Image Text:4. A company has recorded data on the daily demand for its product (y in thousands of units) and the unit price (x in hundreds of dollars). A sample of 15 days demand and associated prices resulted in the following data. Ex² = 469 Ey=135 Ey=1315 Σxy=616 Σ x = 75 a. What are the intercept and slope of estimated regression equation b. how do you interpret the intercept and slope of the estimated regression equation? c. Compute SSE, SST, and SSR. d. Compute the coefficient of determination r2. Comment on the goodness of fit.
e. Compute the standard error of the estimate.
f. Compute the estimated standard deviation of b₁.
g. Use the t test to test the following hypothesis ß₁ = 0 at a = .05. What is
your conclusion?
Transcribed Image Text:e. Compute the standard error of the estimate. f. Compute the estimated standard deviation of b₁. g. Use the t test to test the following hypothesis ß₁ = 0 at a = .05. What is your conclusion?
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