7th Edition

ISBN: 9780135901021

Author: Larson

Publisher: PEARSON EDUCATION (COLLEGE)

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 9.3, Problem 9E

In Exercises 7–10, use the value of the correlation coefficient r to calculate the coefficient of determination r². What does this tell you about the explained variation of the data about the regression line? about the unexplained variation?

9. r = −0.957

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Chapter 9.3, Problem 8E

Chapter 9.3, Problem 10E

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Chapter 9 Solutions

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In Exercises 7–10, use the value of the correlation coefficient r to calculate the coefficient of determination r 2 . What does this tell you about the explained variation of the data about the regression line? about the unexplained variation? 9. r = −0.957

Solution Summary: The author explains that the coefficient of determination is 0.916, which is the square of the linear correlation coefficient r.

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