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
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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

Transcribed Image Text:Excel template Saved
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Weekly Gross Television
Advertising Advertising
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($1000s)
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17 Formula for Predicted Revenue
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Predicted Revenue (Part D)
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fx Delete this text then place your Simple Regression output in this shaded area. Output range $E$1
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Calculation Mode: Automatic Workbook Statistics
Newspaper
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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
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Step 1: Write the given information.
VIEWStep 2: Develop regression equation with the amount of television advertising as independent variable.
VIEWStep 3: Develop regression equation with two variable as independent variable.
VIEWStep 4: Compare the regression coefficient for the two regression analysis.
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