10th Edition

ISBN: 9780321989178

Author: Neil A. Weiss

Publisher: PEARSON

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 14.3, Problem 115E

In Exercises 14.104–14.115, use the technology of your choice to perform the following tasks.

a. Decide whether finding a regression line for the data is reasonable. If so, then also do parts (b)–(d).
b. Obtain the coefficient of determination.
c. Determine the percentage of variation in the observed values of the response variable explained by the regression, and interpret your answer.
d. State how useful the regression equation appears to be for making predictions.

14.115 Estriol Level and Birth Weight. J. Greene and J. Touchstone conducted a study on the relationship between the estriol levels of pregnant women and the birth weights of their children. Their findings, “Urinary Tract Estriol: An Index of Placental Function" were published in the American Journal of Obstetrics and Gynecology (Vol. 85(1), pp. 1–9). The data from the study are provided on the WeissStats site, where estriol levels are in mg/24 hr and birth weights are in hectograms.

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Chapter 14.3, Problem 114E

Chapter 14.3, Problem 116E

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Chapter 14 Solutions

Introductory Statistics (10th Edition)

Ch. 14.1 - Regarding linear equations with one independent...Ch. 14.1 - Prob. 2E Ch. 14.1 - Consider the linear equation y = b0 + b1x. a....Ch. 14.1 - Prob. 4E Ch. 14.1 - In Exercises 14.514.14, we give linear equations....Ch. 14.1 - Prob. 6E Ch. 14.1 - In Exercises 14.5-14.14, we give linear equations....Ch. 14.1 - Prob. 8E Ch. 14.1 - Prob. 9E Ch. 14.1 - In Exercises 14.514.14, we give linear equations....

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Solution Summary: The author determines whether finding a regression equation for the data is reasonable. The coefficient of determination is defined as the proportion of variation in the observed values of the response variable.

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Chapter 14 Solutions