tqvm.
- Pls Do It By Manual Calculation And Type In Word Tqvm 1 (78.81 KiB) Viewed 64 times
Versus Fits (response is Sales) 2 Standardized Residual -2 1000 2000 3000 5000 6000 4000 Fitted Value
Pls do it by manual calculation and type in word, tqvm.
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answerhappygod
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Pls do it by manual calculation and type in word, tqvm.
Pls do it by manual calculation and type in word,
tqvm.
III. (20 points) 得分 Analysis of Variance Source DF Adi SS Adj MS w WW F-Value P-Value ) 0.000 Regression ( ) 35250756 ( ) Error ( ) 7448393 ( ) Total 49 42699149 Model Summary S R-sq R-sq (adj) ( ) 398. 091 ( Coefficients Term Coef SE Coef T-Value P-Value VIF www Constant 1305 198 ( 0.900 ) ) Income 33. 13 3. 97 ( 0.030 1.03 Size 356.3 33. 2 ( ) 0.000 1.03 a.Develop the estimated regression equation.(2 points) b. Complete the missing entries.(8 points) c. At the 0.05 level of significance, test whether the estimated regression equation indicates a significant relationship between the independent variables and the dependent variable.(2 points) d. Based on the plot, Does the residual plot support the assumption about <?(8 points)
Versus Fits (response is Sales) 2 Standardized Residual -2 1000 2000 3000 5000 6000 4000 Fitted Value
tqvm.
III. (20 points) 得分 Analysis of Variance Source DF Adi SS Adj MS w WW F-Value P-Value ) 0.000 Regression ( ) 35250756 ( ) Error ( ) 7448393 ( ) Total 49 42699149 Model Summary S R-sq R-sq (adj) ( ) 398. 091 ( Coefficients Term Coef SE Coef T-Value P-Value VIF www Constant 1305 198 ( 0.900 ) ) Income 33. 13 3. 97 ( 0.030 1.03 Size 356.3 33. 2 ( ) 0.000 1.03 a.Develop the estimated regression equation.(2 points) b. Complete the missing entries.(8 points) c. At the 0.05 level of significance, test whether the estimated regression equation indicates a significant relationship between the independent variables and the dependent variable.(2 points) d. Based on the plot, Does the residual plot support the assumption about <?(8 points)
Versus Fits (response is Sales) 2 Standardized Residual -2 1000 2000 3000 5000 6000 4000 Fitted Value