The owner of Showtime Movie Theatres Inc. would like to predict weekly gross revenue as a function of advertising expenditures. Use 0.05 levelof significance.Historical data for a sample of eight weeks follow:Weekly GrossRenvenueTelelvisionNewspaperAdveritising($1000s)Adveritisinga)Develop an estimated regression equation to predict weekly gross revenue as a function of advertising expenditures.($1000s)($1000s)965.01.590202.0b)Explain in simgwhen 1000s are spent on television and newspaper then the revenue will in954.01.5922.52.5c)Predict weekly953.03,3943.52.3d)What is the R2 value?0.9190942.54.2943.02.5e)What is the Hypothesis Test?Use the t test to determine the significance of each independent variable. State the t test, p-values, and your conclusion.g)What is the corReject HoSUMMARY OUTPUTpression StatsticaMutiple R0.9586634440.9190356R Square0.88664984Adusted R SquareStandard Eror0.642587303ObervationsANOVASyaicance28.37776839 0.00186524231SSMS11.7177039Regression23.435407792Residual2.0645922080412918442Total255Standard ErorLower 95%1.573868952 52.88247894 0.00000004571 79.18433275 87 27585063 79.18433275Coeficievtst StatPvalueUpper 9%Lower 95.0%Upper 95.0%Intercept83.2300916987.27585063Telelvision Adveritising (1000136210.304064556 7.531899313 0.00065323166 1.508560796 3.071806446 1.508560796 3.071806446Newspaper Adverifaing (3000PO9e|0.320701597 4.056696662 0.0097607978 0476599398 2.125378796 0470599398 2.125378798|

Answered: Telelvision Newspaper Adveritising…

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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Modeling jumps 2012 Here are the summary statisticsfor the Olympic long jumps and high jumps displayed inthe previous exercise. Event Mean StdDevHigh Jump 2.148 0.1939Long Jump 8.05 0.5136Correlation = 0.9125 a) Write the equation of the line of regression for esti-mating High Jump from Long Jump. b) Interpret the slope of the line.c) In a year when the long jump is 8.9 m, what high jumpwould you predict?d) Why can’t you use this line to estimate the longjump for a year when you know the high jump was2.25 m?e) Write the equation of the line you need to make thatprediction.
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A B Miles Price (1000s) ($1000s) 22 29 36 47 63 77 73 87 92 101 110 28 59 68 68 91 42 65 110 16.2 16.0 13.8 11.5 12.5 12.9 11.2 13.0 11.8 10.8 8.3 12.5 11.1 15.0 12.2 13.0 15.6 12.7 8.3
Need to understand how to use excel of megastat to answer the following Costco sells paperback books in their retail stores and wants to examine the relationship between the prices and sales. The price of a particular novel was adjusted each week and the weekly sales are in the following table. Management would like to use a simple linear regression model that uses prices to predict sales. Sales Price 8 $ 12 2 $ 15 7 $ 15 4 $ 12 4 $ 6 4 $ 4 4 $ 5 The predicted weekly sales for the novel when priced at $10 is equal to ________. Multiple Choice 2.88 3.35 4.73 Correct 5.61
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Demand for Smartphones The following table shows worldwide sales of a type of phone and their average selling prices in 2012, 2013, and 2017. Year 2012 2013 2017 Selling Price p ($100) 4 3 2 Sales q (billions) 0.7 1 2 Find the regression line (round coefficients to one decimal place). q(p) = Use the regression line to estimate the demand (in millions of units sold) when the selling price was $350. million
Bookstore sales revisited Recall the data we saw inChapter 6, Exercise 3 for a bookstore. The manager wantsto predict Sales from Number of Sales People Working. Number of SalesPeople Working Sales (in $1000)2 103 117 139 1410 1810 2012 2015 2216 2220 26 Dependent variable is SalesR-squared = 93.2,s = 1.477 Variable CoefficientIntercept 8.1006Num_Workers 0.9134 Here is the regression analysis of Sales vs. Number ofSales People Working. a) Write the regression equation. Define the variablesused in your equation.b) What does the slope mean in this context?c) What does the y-intercept mean in this context? Is itmeaningful?d) If 18 people are working, what Sales do you predict?e) If sales for the 18 people are actually $25,000, what isthe value of the residual?f) Have we overestimated or underestimated the sales?
comput by hand Do not use a proram like excel, or SPSS You are a researcher testing whether SAT scores predict overall college GPA. Conduct a linear regression analysis with this data by hand. How do your interpret your findings? SAT GPA 670 1.2 720 1.8 750 2.3 845 1.9 960 3.0 1000 3.3 1180 3.2 1200 3.4 1370 2.9 1450 3.8 1580 4.0 1600 3.9
Don't do the the qestion the picture find test static and round two decimal places and p value and round theee decimal place
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Using the regression equation developed in step 2, forecast the monthly food and beverage sales for January through December for the fourth year of operation. Discuss your findings

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