A shoe store developed the following estimated regression equation relating sales to inventory investment and advertising expenditures. ŷ = 25 + 10z1 + 8x2 where #1 = inventory investment ($1000s) I2 = advertising expenditures ($1000s) y = sales ($1000s) The data used to develop the model came from a survey of 10 stores; for those data, SST = 16,000 and SSR = 13,000. a. Compute SSE, MSE, and MSR (to 2 decimals, if necessary). SSE %3D MSE MSR = b. Use an F test and a = 0.05 level of significance to determine whether there is a relationship among the variables. Compute F test statistic (to 2 decimals). Use F table. The p-value is - Select your answer - What is your conclusion? There - Select your answer - : a significant relationship among the variables.
A shoe store developed the following estimated regression equation relating sales to inventory investment and advertising expenditures. ŷ = 25 + 10z1 + 8x2 where #1 = inventory investment ($1000s) I2 = advertising expenditures ($1000s) y = sales ($1000s) The data used to develop the model came from a survey of 10 stores; for those data, SST = 16,000 and SSR = 13,000. a. Compute SSE, MSE, and MSR (to 2 decimals, if necessary). SSE %3D MSE MSR = b. Use an F test and a = 0.05 level of significance to determine whether there is a relationship among the variables. Compute F test statistic (to 2 decimals). Use F table. The p-value is - Select your answer - What is your conclusion? There - Select your answer - : a significant relationship among the variables.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:A shoe store developed the following estimated regression equation relating sales to inventory investment and advertising expenditures.
ŷ = 25 + 10x1 + 8x2
where
¤1 = inventory investment ($1000s)
x2 = advertising expenditures ($1000s)
y = sales ($1000s)
The data used to develop the model came from a survey of 10 stores; for those data, SST = 16,000 and SSR = 13,000.
a. Compute SSE, MSE, and MSR (to 2 decimals, if necessary).
SSE
MSE :
MSR =
b. Use an F test and a = 0.05 level of significance to determine whether there is a relationship among the variables.
Compute F test statistic (to 2 decimals). Use F table.
The p-value is - Select your answer -
What is your conclusion?
There
Select your answer -
a significant relationship among the variables.
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