8th Edition

ISBN: 9781305465510

Author: Rosner

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 2, Problem 24P

Forced expiratory volume (FEV) is an index of pulmonary function that measures the volume of air expelled after 1 second of constant effort. Dataset FEV.DAT at www.cengagebrain.com. contains determinations of FEV in 1980 on 654 children ages 3 through 19 who were seen in the Childhood Respiratory Disease (CRD) Study in East Boston, Massachusetts. These data are part of a longitudinal study to follow the change in pulmonary function over time in children [9],

TABLE 2.17 Format for FEV.DAT

Column

Variable

Format or code

1-5 ID number

7-8 Age (years)

10-15 FEV (liters) X.XXX

17-20 Height (inches) XX.X

22 Sex 0 = female/1 = male

24 Smoking status 0 = noncurrent smoker/

1 = current smoker

The data in Table 2.17 are available for each child. Use both numeric and graphic measures to assess the relationship of FEV to age, height, and smoking status. (Do this separately for boys and girls.)

Use both numeric and graphic measures to assess p the relationship of FEV to age, height, and smoking status. (Do this separately for boys and girls.)

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Chapter 2, Problem 23P

Chapter 2, Problem 25P

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Chapter 2 Solutions

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Solution Summary: The author evaluates the relationship of FEV to age, height, and smoking status using both numeric and graphic measures.

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