Finite Mathematics & Its Applications (12th Edition)

12th Edition

ISBN: 9780134437767

Author: Larry J. Goldstein, David I. Schneider, Martha J. Siegel, Steven Hair

Publisher: PEARSON

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Correlation

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 1.4, Problem 21E

Life Expectancy The following table is an abbreviated life expectancy table for U.S. males:

Current Age	Life Expectancy
0	76.4
20	77.3
40	78.7
60	81.7
80	88.3

(a) Find the straight line that provides the least-squares fit to these data.

(b) Use the straight line of part (a) to estimate the life expectancy of a 30-year-old U.S. male. Note: The actual life expectancy is 78 years.

(c) Use the straight line of part (a) to estimate the life expectancy of a 50-year-old U.S. male. Note: The actual life expectancy is 79.7 years.

(d) Use the straight line of part (a) to estimate the life expectancy of a 90-year-old U.S. male. Note: The actual life expectancy is 94.1 years.

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Chapter 1.4, Problem 20E

Chapter 1.4, Problem 22E

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Finite Mathematics & Its Applications (12th Edition)

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Solution Summary: The formula used to determine the least squares line is y=0.141x+74.8.

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