The Following Output Resulted From A Regression Model Where Sagap Is Seasonally Adjusted Gap Sales And Dpi

[Document title] 1 : : 19 :73992 1) The following output resulted from a regression model where SAGap is seasonally adjusted Gap sales and dpi is disposable income per capita. Audit Trail -- Coefficient Table (Mulitple Regression Selected) Series Description Included in Model Coefficient Standard Error T-test Pvalue F-test Elasticity SAGAP Dependent - 2,867,564.78 140,536.33 - 20.40 0.00 416.34 dpi Yes 809.79 25.04 32.33 0.00 1,045.55 2.91 Audit Trail -- Correlation Coefficient Table Series Description Included in Model SAGap dpi SAGap Dependent 1.00 0.97 dpi Yes 0.97 1.00[Document title] 2 - - Audit Trail - Statistics Accuracy Measures Value Forecast Statistics Value AIC 2,135.23 Durbin Watson(4) 0.43 BIC 2,137.56 Mean 1,501,041.15 Mean Absolute Percentage Error (MAPE) 34.60 % Standard Deviation 1,303,264.45 R-Square 94.59 % Max 4,253,174.95 Adjusted R-Square 94.51 % Min 123,121.77 Mean Square Error 90,711,613,878.48 Range 4,130,053.18 Root Mean Square Error 301,183.69 Root Mean Square 1,294,661.95 Theil 6.23 Ljng-Box 347.40 A) None of the options are true. B) This regression model is a lagged model. C) This regression model is a nonlinear model. D) This regression model is a causal model. E) This regression model is a multiple regression model. 2) The following regression represents seasonally adjusted shoe store