Degrees offreedomSource ofSums ofMeanF statisticvariationsquaressquaresRegression81ErrorTotal The marketing research department of a large company knows that the company's monthly sales are influenced by the way in which it spendsmoney on marketing. For example, monthly expenditures such as the ones listed below are known to have an effect on y, the company's totalmonthly sales (in millions of dollars).X1= money spent on television advertising (in 1000's of dollars)X2money spent on promotion (i.e., free samples)X3= money spent on newspaper advertising (in 1000's of dollars)X4average discounts offered to retail outlets (in %)Using data from the previous 18 months, the company decides to collect data on 6 of the independent variables to use in a multiple regressionmodel for estimating monthly sales. If the R´ for this model is 0.93, fill in the missing entries in the ANOVA table associated with this model.Do all calculations to at least three decimal places.

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Degrees of freedom Source of Sums of Mean F statistic variation squares squares Regression 81 Error Total

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

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Question

100%

Degrees of
freedom
Source of
Sums of
Mean
F statistic
variation
squares
squares
Regression
81
Error
Total

The marketing research department of a large company knows that the company's monthly sales are influenced by the way in which it spends
money on marketing. For example, monthly expenditures such as the ones listed below are known to have an effect on y, the company's total
monthly sales (in millions of dollars).
X1
= money spent on television advertising (in 1000's of dollars)
X2
money spent on promotion (i.e., free samples)
X3
= money spent on newspaper advertising (in 1000's of dollars)
X4
average discounts offered to retail outlets (in %)
Using data from the previous 18 months, the company decides to collect data on 6 of the independent variables to use in a multiple regression
model for estimating monthly sales. If the R´ for this model is 0.93, fill in the missing entries in the ANOVA table associated with this model.
Do all calculations to at least three decimal places.

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