a) predicted sales =(35+12*15+6*10)*1000=$275000
b)
b1: expected to increase by $12 for every dollar increase in inventory investment when advertisement expenditures is held constant
b2: expected to increase by $6 for every dollar increase in advertisement expenditures when inventory investment is held constant
the multiple coefficient of determination is:
SSR/SST: option C is correct
A shoe store developed the following estimated regression equation relating sales to inventory investment and advertisi...
eBook A shoe store developed the following estimated regression equation relating sales to inventory investment and advertising expenditures. y = 35 + 9.21 + 7x2 where 21 = inventory investment ($1000s) 12 = advertising expenditures ($1000s) y = sales ($1000s) a. Predict the sales resulting from a $15,000 investment in inventory and an advertising budget of $10,000. b. Interpret bi and b2 in this estimated regression equation. - Select your answer - ] by $9 for every dollar increase in...
A shoe store developed the following estimated regression equation relating sales to inventory investment and advertising expenditures where 1inventory investment ($1000s) = 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 a. Compute SSE, MSE, and MSR (to 2 decimals, if necessary) 12,000 SSE MSE MSR b. Use an F test and α .05 level of significance to determine whether there is...
A shoe store developed the following estimated regression equation relating sales to inventory investment and advertising expenditures. ŷ = 23 + 12X1 + 8X2 where X1 = inventory investment ($1,000s) x2 = advertising expenditures ($1,000s) y = sales ($1,000s). (a) Predict the sales in dollars) resulting from a $15,000 investment in inventory and an advertising budget of $11,000. $ (6) Interpret b, and b, in this estimated regression equation. Sales can be expected to increase by $ expected to increase...
The following estimated regression equation relating sales to inventory investment and advertising expenditures was given. ý = 24 + 14x + 7x2 The data used to develop the model came from a survey of 10 stores; for those data, SST = 18,000 and SSR = 12,780. (a) For the estimated regression equation given, compute RS R2 = (b) Compute R, (Round your answer to two decimal places.) (c) Does the model appear to explain a large amount of variability in...
eBook Video In a regression analysis involving 30 observations, the following estimated regression equation was obtained. 17.6+3.8z-2.3z +7.6z, +2.7z For this estimated regression equation SST- 1805 and SSR- 1,764. a. At a 0.05, test the significance of the relashionship among the variables. SSE (to 1 decimal, if necessary) MSR (to 1 decimal, if necessary) MSE (to 2 decimal if necessary) What is the value of the F test statistic (to 1 decimal)? Use Table 4 in Appendix B. What is...
In a regression analysis involving 30 observations, the following estimated regression equation was obtained. = 17.6 +3.821 -2.3x2 + 7.603 + 2.724 For this estimated regression equation SST = 1805 and SSR = 1,756. a. At a = 0.05, test the significance of the relashionship among the variables. SSE (to 1 decimal, if necessary) MSR (to 1 decimal, if necessary) MSE (to 2 decimals, if necessary) What is the value of the F test statistic (to 1 decimal)? Use Table...
In a regression analysis involving 30 observations, the following estimated regression equation was obtained. y=17.6+3.8x1-2.3x2+7.6x3+2.7x4 For this estimated regression equation SST= 1805 and SSR=1756. a. At a= 0.05 , test the significance of the relationship among the variables. SSE=_________________ (to 1 decimal, if necessary) MSR=________________ (to 1 decimal, if necessary) MSE=+_______________ (to 2 decimals, if necessary) What is the value of the F test statistic (to 1 decimal)? _______________ What is the p-value? - Select your answer -less than .01,between...
Data on advertising expenditures and revenue (in thousands of dollars) for the Four Seasons Restaurant follow. Advertising Expenditures Revenue 1 19 2 33 4 45 52 10 14 53 20 54 a. Let x equal advertising expenditures and y equal revenue. Complete the estimated regression equation below (to 2 decimals) b. Test whether revenue and advertising expenditures are related at a .05 level of significance. Compute the following (to 2 decimals). SSE SST SSR MSR MSE Compute the F test...
Data on advertising expenditures and revenue (in thousands of dollars) for the Four Seasons Restaurant follow Advertising Expenditures 2 4 6 10 14 20 Revenue 20 32 45 40 53 54 a. Let x equal advertising expenditures and y equal revenue. Complete the estimated regression equation below (to 2 decimals) b. Compute the following (to 1 decimal) SSE SST SSR MSR MSE c. Test whether revenue and advertising expenditures are related at a .05 level of significance. Compute the F...
Data on advertising expenditures and revenue (in thousands of dollars) for the Restaurant follow. Advertising Expenditures Revenue 1 20 2 33 4 45 6 40 10 53 14 54 20 55 Let x equal advertising expenditures and y equal revenue. Complete the estimated regression equation below. y = 1.47 + 30.87 Test whether revenue and advertising expenditures are related at a .05 level of significance. SSE = SST = SSR = MSR = MSE= F test statistic = P-value =