A shoe store developed the following estimated regression equation relating sales to inventory investment and advertising expenditures. i25+10z + 8.r 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 = 18,000 and SSR 11,000. a. Compute SSE, MSE, and MSR (to 2 decimals, if necessary). SSE MSE- MSR - b. Use an F test and 0 =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 Sclect your answer - What is your conclusion? There-Sclect your answer - Va significant relationship attriu LHe variatiles.
A shoe store developed the following estimated regression equation relating sales to inventory investment and advertising expenditures. i25+10z + 8.r where 1= inventory investment ($1000s) I2 = advertising expenditures ($1000s) y= sales ($1000s) The data used to develop the model came from a survey of 10 stores; for those data, SST = 18,000 and SSR 11,000. a. Compute SSE, MSE, and MSR (to 2 decimals, if necessary). SSE MSE- MSR - b. Use an F test and 0 =0.05 level of significance to determine whether there is a relationship among the variables. Compute F test statistic (to 2 decimals). Use F table. The p-value is Sclect your answer - What is your conclusion? There-Sclect your answer - Va significant relationship attriu LHe variatiles.
MATLAB: An Introduction with Applications
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Author:Amos Gilat
Publisher:Amos Gilat
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
Transcribed Image Text:A shoe store developed the following estimated regression equation relating sales to inventory investment and advertising expenditures.
i25+10z + 8
where
1= inventory investment ($L000s)
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= 18,000 and SSR – 11,000.
a. Compute SSE, MSE, and MSR (to 2 decimals, if necessary).
SSE -
MSE -
MSR -
b. Use an F test and o = 0.05 level of
ificance
determine whether there is a relationship among the variables.
Compute F test statistic (to 2 decimals). Use F table.
The p-value is
Scicct your answer -
What is your conclusion?
There
Seicct your answer - V a significant relatioriship attiuiu tLHe variatles.
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