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Video 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. Due to a recent change by Microsoft you will need to open the XLMiner Analysis ToolPak add-in manually from the home ribbon. Screenshot of ToolPak X Open spreadsheet a. Develop an estimated regression equation with the amount of television advertising as the independent variable (to 2 decimals). Revenue = TVAdv b. Develop an estimated regression equation with both television advertising and newspaper advertising as the independent variables (to 2 decimals). Revenue = TVAdv + NewsAdv c. Is 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 i s spent on television advertising and $3.8 thousand is spent on newspaper advertising (to 2 decimals)? $ in thousands

Video 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. Due to a recent change by Microsoft you will need to open the XLMiner Analysis ToolPak add-in manually from the home ribbon. Screenshot of ToolPak X Open spreadsheet a. Develop an estimated regression equation with the amount of television advertising as the independent variable (to 2 decimals). Revenue = TVAdv b. Develop an estimated regression equation with both television advertising and newspaper advertising as the independent variables (to 2 decimals). Revenue = TVAdv + NewsAdv c. Is 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 i s spent on television advertising and $3.8 thousand is spent on newspaper advertising (to 2 decimals)? $ in thousands

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Video 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. Due to a recent change by Microsoft you will need to open the XLMiner Analysis ToolPak add-in manually from the home ribbon. Screenshot of ToolPak X Open spreadsheet a. Develop an estimated regression equation with the amount of television advertising as the independent variable (to 2 decimals). Revenue = Revenue = + b. Develop an estimated regression equation with both television advertising and newspaper advertising as the independent variables (to 2 decimals). + Check My Work TVAdv c. Is the estimated regression equation coefficient for television advertising expenditures the same in part (a) and in part (b)? in thousands TVAdv + Reset Problem d. Predict weekly gross revenue for a week when $4.8 thousand is spent on television advertising and $3.8 thousand is spent on newspaper advertising (to 2 decimals)? NewsAdv î
Transcribed Image Text:Video 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. Due to a recent change by Microsoft you will need to open the XLMiner Analysis ToolPak add-in manually from the home ribbon. Screenshot of ToolPak X Open spreadsheet a. Develop an estimated regression equation with the amount of television advertising as the independent variable (to 2 decimals). Revenue = Revenue = + b. Develop an estimated regression equation with both television advertising and newspaper advertising as the independent variables (to 2 decimals). + Check My Work TVAdv c. Is the estimated regression equation coefficient for television advertising expenditures the same in part (a) and in part (b)? in thousands TVAdv + Reset Problem d. Predict weekly gross revenue for a week when $4.8 thousand is spent on television advertising and $3.8 thousand is spent on newspaper advertising (to 2 decimals)? NewsAdv î
Excel template Saved E1 1234567 8 File Home 21 22 23 24 25 26 27 28 29 30 31 วา U A Revenue Insert Arial B Weekly Gross Television Advertising Advertising (1000s) ($1000s) ($1000s) 97 91 111 95 4 92 2.5 96 4 94 3.5 95 2.5 94 3 #N/A = 10 11 12 13 14 15 16 17 Formula for Predicted Revenue 18 19 20 Predicted Revenue (Part D) Draw Page Layout + 529 ✓10 B ↓ fx Delete this text then place your Simple Regression output in this shaded area. Output range $E$1 C F G H 4.8 Sheet1 Calculation Mode: Automatic Workbook Statistics Newspaper V 1.5 2 1.5 2.5 3.3 2.3 4.2 2.5 3.8 Formulas D Search (Option + Q) E Data Review View Help General ←0 .00 I .00 →.0 J Delete this text then place your Simple Regression output in this shaded area. Output range $E$1 Delete this text then place your Multiple Regression output in this shaded area. Output range $E$21 K L Σ Editing AT M N Give Feedback to Microsoft Comments | 100% +
Transcribed Image Text:Excel template Saved E1 1234567 8 File Home 21 22 23 24 25 26 27 28 29 30 31 วา U A Revenue Insert Arial B Weekly Gross Television Advertising Advertising (1000s) ($1000s) ($1000s) 97 91 111 95 4 92 2.5 96 4 94 3.5 95 2.5 94 3 #N/A = 10 11 12 13 14 15 16 17 Formula for Predicted Revenue 18 19 20 Predicted Revenue (Part D) Draw Page Layout + 529 ✓10 B ↓ fx Delete this text then place your Simple Regression output in this shaded area. Output range $E$1 C F G H 4.8 Sheet1 Calculation Mode: Automatic Workbook Statistics Newspaper V 1.5 2 1.5 2.5 3.3 2.3 4.2 2.5 3.8 Formulas D Search (Option + Q) E Data Review View Help General ←0 .00 I .00 →.0 J Delete this text then place your Simple Regression output in this shaded area. Output range $E$1 Delete this text then place your Multiple Regression output in this shaded area. Output range $E$21 K L Σ Editing AT M N Give Feedback to Microsoft Comments | 100% +
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