3rd Edition

ISBN: 9780135190210

Author: Gould

Publisher: PEARSON CO

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 4, Problem 66SE

Teacher Pay and High School Graduation Rates The scatterplot shows the average teacher pay and high school graduation percentage rate for each of the 50 states and the District of Columbia. The regression equation is also shown. (Source: 2017 World Almanac Book of Facts and higheredinfo.org)

Chapter 4, Problem 66SE, Teacher Pay and High School Graduation Rates The scatterplot shows the average teacher pay and high

a. Based on the scatterplot is the correlation between average teacher pay and high school graduation rate positive, negative, or near zero?

b. Should the regression equation be used to predict the high school graduation rate for a state with an average teacher salary of $ 60 , 000 ? If so, predict the graduation rate. If not, explain why the regression equation should not be used to make this prediction.

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Chapter 4, Problem 65SE

Chapter 4, Problem 67SE

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Chapter 4 Solutions

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Solution Summary: The author explains that the scatterplot that represents the relationship between the teacher’s pay and the high school graduation rates is given.

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