(a) For the estimated regression equation given, compute R2.(Round your answer to two decimal places.) R2 - (b) Compute the adjusted r-square, R2. (Round your answer to two decimal places.) (c) Does the model appear to explain a large amount of variability in the data? Explain. (For purposes of this exercise, consider an amount large if it is at least 55%. Round your answer to the nearest integer.) The adjusted coefficient of determination shows that |% of the variability has been explained by the two independent variables; thus, we conclude that the model -Select--- v explain a large amount of variability.

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
icon
Concept explainers
Question
The following estimated regression equation relating sales to inventory investment and advertising expenditures was given.
ý = 28 + 15x, + 8x2
The data used to develop the model came from a survey of 10 stores; for those data, SSyy (Total Sum of Squares) = 19,000 and SSR (Regression Sum of Squares) = 13,49o.
(a) For the estimated regression equation given, compute R.(Round your answer to two decimal places.)
R2 =
(b) Compute the adjusted r-square, R.2. (Round your answer to two decimal places.)
(c) Does the model appear to explain a large amount of variability in the data? Explain. (For purposes of this exercise, consider an amount large if it is at least 55%. Round your answer to the
nearest integer.)
The adjusted coefficient of determination shows that
|% of the variability has been explained by the two independent variables; thus, we conclude that the model -Select-- v
explain a large amount of variability.
Transcribed Image Text:The following estimated regression equation relating sales to inventory investment and advertising expenditures was given. ý = 28 + 15x, + 8x2 The data used to develop the model came from a survey of 10 stores; for those data, SSyy (Total Sum of Squares) = 19,000 and SSR (Regression Sum of Squares) = 13,49o. (a) For the estimated regression equation given, compute R.(Round your answer to two decimal places.) R2 = (b) Compute the adjusted r-square, R.2. (Round your answer to two decimal places.) (c) Does the model appear to explain a large amount of variability in the data? Explain. (For purposes of this exercise, consider an amount large if it is at least 55%. Round your answer to the nearest integer.) The adjusted coefficient of determination shows that |% of the variability has been explained by the two independent variables; thus, we conclude that the model -Select-- v explain a large amount of variability.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

Blurred answer
Knowledge Booster
Correlation, Regression, and Association
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.
Similar questions
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