The following data describes weekly gross revenue ($1000s), television advertising expenditures ($1000s), and newspaper advertising expenditures ($1000s) for Showtime Movie Theaters.Weekly GrossRevenue($1000s)9690959295a. Find an estimated regression equation relating weekly gross revenue to television advertising expenditures and newspaper advertising expenditures (to 2 decimals).Revenue]+[TVAdv+NewsAdvb. Choose the correct plot of the standardized residuals against .A.C.Standardized Residual21.5F10.5-0.5-1-1.5-21-25-2Standardized Residual1.5-1Fo.s-0.5-190 91 92-1.5[-2.59093 94 95 96 Predicted y91feduPredicted y92 93 94 95 96-Select your answer - VDoes the residual plot support the assumptions about e? Explain.YesWith the relatively few observations, it isc. Check for any outliers in these data. What are your conclusion?Because 1 valueB.D.Standardized Residual21.5-10.5-0.5-1-1.5-21-2521.5Standardized ResidualF10.5-0.51-1-1.590 91-2-2.59290 919392 9.3of the standard residuals are less than -2 or greater than +2, 29495 96 Predicted y94 9596✓ difficult to determine if the model assumptions are violated.DPredicted yof the observations cannot949494TelevisionAdvertising($1000s)5.02.04.02.53.03.52.53.0be classified as an outlier.NewspaperAdvertising($1000s)1.52.01.52.53.32.34.22.5

The variables are associated with each other, the One variable is used to find the value of the other variable. The method of estimating the value of the one variable by the other variable is called as regression analysis.. The relationship between the variables is estimated by the regression in the form of the equation. The method to find the value of the coefficient of the regression equation is called as the method of the least square.The random variable under study is Weekly gross revenue Television AdvertisingNewspaper AdvertisingThe data isYX1X29651.590229541.5922.52.59533.3943.52.3942.54.29432.5The procedure for the regression analysis by the Excel isEnter the variables in the columns of the Excel sheet.From Data > Data Analysis > Regressionselect an Input Y-range as the variable..Select an Input X-range as both variables..Click on OK.The output of the regression analysis isthe fitted regression model isThe procedure to estimate the standardized residual Enter the variables in the columns of the Excel sheet.From Data > Data Analysis > Regressionselect an Input Y-range as the variable..Select an Input X-range as both variables..Check the box from the standardized residuals.Click Ok.The output isThe standardized residual Vs predicted value plot is Procedure:Enter a standardized residual and the predicted value in columns of the Excel sheet.From Insert > Charts < Insert Scatter ChartThe correct option is .From the residual plot, it is indicated that the residuals are randomly distributed with the center line as zero the assumption about the error is satisfied.The residuals plot supports the assumption about the .The observations are said to be outliers if the standardized residual is behind the interval..There are no values of the residual that are greater than or less than so there are no outliers in the data.The fitted regression model on the data is the residual plot isthe correct option is .The residual supports the assumption about the..As none of the standardized residuals is greater than or less than.. None of the observations are classified as outliers.