14th Edition

ISBN: 9780134685168

Author: STEPHAN

Publisher: YUZU

Concept explainers

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 p…

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Textbook Question

Chapter 14, Problem 33PS

In Problem 14.5 on page 542, you used alcohol percentage and chlorides to predict wine quality (stored in VinhoVerde). Using the results from that problem,

a. at the 0.05 level of significance, determine whether each independent variable makes a significant contribution to the regression model. On the basis of these results, indicate the most appropriate regression model for this set of data.

b. compute the coefficients of partial determination, r 2 Y 1.2 and r 2 Y 2.1 , and interpret their meaning.

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Chapter 14, Problem 32PS

Chapter 14, Problem 34PS

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Chapter 14 Solutions

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Solution Summary: The author states the most appropriate regression model for the given data. The sample size is 50 and the level of significance is 0.05.

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