The following estimated regression equation relating sales to inventory investment and advertising expenditures was given.ŷ = 28 + 15x1 + 7×2The 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) = 14,440.(a) For the estimated regression equation given, compute R2.(Round your answer to two decimal places.)R2 =2(b) Compute the adjusted r-square, R,. (Round your answer to two decimal places.)2Ra(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 thenearest integer.)The adjusted coefficient of determination shows that% of the variability has been explained by the two independent variables; thus, we conclude that the mode v ---Select---explain a large amount of variability.doesdoes not

Given information: The estimated regression equation is: y^=28+15x1+7x2 It consists of two…

The following estimated regression equation relating sales to inventory investment and advertising expenditures was given. ý = 28 + 15x, + 7x2 The data used to develop the model came from a survey of 10 stores; for those data, yy (Total Sum of Squares) = 19,000 and SSR (Regression Sum of Squares) = 14,440. (a) For the estimated regression equation given, compute R2.(Round your answer to two decimal places.) R2 = (b) Compute the adjusted r-square, R,2. (Round your answer to two decimal places.) R = (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 mode v ---Select--- explain a large amount of variability. does does not

The following estimated regression equation relating sales to inventory investment and advertising expenditures was given. ý = 28 + 15x, + 7x2 The data used to develop the model came from a survey of 10 stores; for those data, yy (Total Sum of Squares) = 19,000 and SSR (Regression Sum of Squares) = 14,440. (a) For the estimated regression equation given, compute R2.(Round your answer to two decimal places.) R2 = (b) Compute the adjusted r-square, R,2. (Round your answer to two decimal places.) R = (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 mode v ---Select--- explain a large amount of variability. does does not

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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Concept explainers

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

100%

The following estimated regression equation relating sales to inventory investment and advertising expenditures was given.
ŷ = 28 + 15x1 + 7×2
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) = 14,440.
(a) For the estimated regression equation given, compute R2.(Round your answer to two decimal places.)
R2 =
2
(b) Compute the adjusted r-square, R,. (Round your answer to two decimal places.)
2
Ra
(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 mode v ---Select---
explain a large amount of variability.
does
does not

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