Based on the regression model, what is the best estimate of paint sales (x 1,000 gallons) in a sales region where promotional expenditures are $120,000and the selling price is $9.50? 259.251 230.513 204.114 When promotional expenditures are $80,000 and the selling price is $9.50, the point price elasticity is and the point promotional price elasticity is

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Topic Video
Question

Please help with the last two sections. Thank you!

8. Exercise 4.8
Suppose the Sherwin-Williams Company has developed the following multiple regression model,
with paint sales Y (x 1,000 gallons) as the dependent variable and promotional expenditures A (x
$1,000) and selling price P (dollars per gallon) as the independent variables.
Y = a + BaA + ßpP + e
, ba = 0.11
. Note that the
Now suppose that the estimate of the model produces following results: a = 344.585
R2 = 0.722
, Sba= 0.164
sample consists of 10 observations.
bp = -13.397
, Sbp= 4.487
and F-statistic = 10.372
According to the estimated model, holding all else constant, a $1,000 increase in promotional
expenditures increases Y sales by approximately 110 Y gallons. Similarly, a $1 increase in
the selling price increases
sales by
oroximately
97 ▼ gallons.
Which of the independent variables (if any) appears to be statistically significant (at the 0.05 level)
in explaining paint sales? Check all that apply.
O Promotional expenditures (A)
o Selling price (P)
What proportion of the total variation in sales is explained by the regression equation?
0.11
o 0.722
0.164
The given F-value shows that you can
reject the null hypothesis that neither one of the
independent variables explain a significant (at the 0.05 level) proportion of the variation in income.
Based on the regression model, what is the best estimate of paint sales (x 1,000 gallons) in a sales
region where promotional expenditures are $120,000and the selling price is $9.50?
259.251
230.513
204.114
When promotional expenditures are $80,000 and the selling price is $9.50, the point price
elasticity is
and the point promotional price elasticity is
Transcribed Image Text:8. Exercise 4.8 Suppose the Sherwin-Williams Company has developed the following multiple regression model, with paint sales Y (x 1,000 gallons) as the dependent variable and promotional expenditures A (x $1,000) and selling price P (dollars per gallon) as the independent variables. Y = a + BaA + ßpP + e , ba = 0.11 . Note that the Now suppose that the estimate of the model produces following results: a = 344.585 R2 = 0.722 , Sba= 0.164 sample consists of 10 observations. bp = -13.397 , Sbp= 4.487 and F-statistic = 10.372 According to the estimated model, holding all else constant, a $1,000 increase in promotional expenditures increases Y sales by approximately 110 Y gallons. Similarly, a $1 increase in the selling price increases sales by oroximately 97 ▼ gallons. Which of the independent variables (if any) appears to be statistically significant (at the 0.05 level) in explaining paint sales? Check all that apply. O Promotional expenditures (A) o Selling price (P) What proportion of the total variation in sales is explained by the regression equation? 0.11 o 0.722 0.164 The given F-value shows that you can reject the null hypothesis that neither one of the independent variables explain a significant (at the 0.05 level) proportion of the variation in income. Based on the regression model, what is the best estimate of paint sales (x 1,000 gallons) in a sales region where promotional expenditures are $120,000and the selling price is $9.50? 259.251 230.513 204.114 When promotional expenditures are $80,000 and the selling price is $9.50, the point price elasticity is and the point promotional price elasticity is
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 4 steps with 1 images

Blurred answer
Knowledge Booster
Algebraic Operations
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman