15.1 Excel Activity 1 - Multiple Regression Equations and Predictions with XLMiner Analysis ToolPak (Structured)

15.1 Excel Activity 1 - Multiple Regression Equations and Predictions with XLMiner Analysis ToolPak (Structured)

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The owner of Showtime Movie Theaters, Inc., would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks are entered into the Microsoft Excel Online file below. Use the XLMiner Analysis ToolPak to perform your regression analysis in the designated areas of the spreadsheet.

15.1 Excel Activity 1 - Multiple Regression Equations and Predictions with XLMiner Analysis ToolPak (Structured) Question 1 0110 Submit Due to a recent change by Microso: you will need to open the XLMiner Analysis ToolPak addin manually from the home ribbon. Screenshot of ToolPak The owner of Showtime Movie Theaters, Inc., would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks are entered into the Microsoft Excel Online file below. Use the XLMiner Analysis ToolPak to perform your regression analysis in the designated areas of the spreadsheet. Open spreadsheet a. Develop an estimated regression equation with the amount of television advertising as the independent variable (to 2 decimals). Revenue = C] + [:] TVAdv b. Develop an estimated regression equation with both television advertising and newspaper advertising as the independent variables (to 2 decimals). Revenue = + TVAdv + NewsAdv l l l l l c. [s the estimated regression equation coefficient for television advertising expenditures the same in part (a) and in part (b)? d. Predict weekly gross revenue for a week when $4.8 thousand is spent on television advertising and $3.6 thousand is spent on newspaper advertising (to 2 decimals)? $:] in thousands Check My Work Reset Problem Arial 10 v B v My Av ... ab General $ v .00 -20 Hy . . . E1 ~ X v fx Delete this text then place your Simple Regression output in this shaded area. Output range SE$1 A B C D E F G H K L M N Weekly Gross Television Newspaper Revenue Advertising Advertising Delete this text then place your Simple Regression output in this shaded area. Output range $E$1 (1000s) ($1000s) ($1000s) 97 6 1.5 91 2 2 IOUT A W N 95 4 1.5 92 25 2.5 95 3 3.3 94 3.5 2.3 95 2.5 4.2 95 4 2.5 12 13 Predicted Revenue (Part D) 14 15 4.8 3.6 16 17 Formula for Predicted Revenue 18 19 #N/A 20 21 Delete this text then place your Multiple Regression output in this shaded area. Output range $E$21 22 23 24 25 26 27 28 29 30 31 32