PRECALCULUS:GRAPHICAL,...-NASTA ED.
PRECALCULUS:GRAPHICAL,...-NASTA ED.
10th Edition
ISBN: 9780134672090
Author: Demana
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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Expert Solution & Answer
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Chapter 2.1, Problem 53E
Solution

a.

To Justify:

The use of a linear function to model the given data set.

The use of a linear function is justified as the data points are clustered near a straight line in the scatter plot of data set.

Given:

The data set:

    YearFuel Economy (mpg)
    199521.1
    200021.9
    200522.1
    201023.3
    201523.2

Assume x to be the number of years since 1990 .

Concepts Used:

Drawing of Scatter Plot from data points.

Calculating a linear model that fits the data using a graphing calculator.

Calculations:

Draw a scatter plot of the given data. And fit a regression line on it using a graphing calculator.

  PRECALCULUS:GRAPHICAL,...-NASTA ED., Chapter 2.1, Problem 53E , additional homework tip 1 It can be seen that the data points are clustered close to a line.

Conclusion:

Thus the use of a linear model is justified.

b.

To Determine:

A linear regression model for the given data set.

To State:

The meaning of the slope in the regression model.

  y=0.12x+20.47. Here x represents the number of years since 1990 and y represents the Fuel Economy in units of mpg.

The slope 0.12 represents the increase in y per unit increase in x .

Given:

The data set:

    YearFuel Economy (mpg)
    199521.1
    200021.9
    200522.1
    201023.3
    201523.2

Assume x to be the number of years since 1990 .

Concepts Used:

Drawing of Scatter Plot from data points.

Calculating a linear model that fits the data using a graphing calculator.

The slope a , of a regression line y=ax+bis the change in y per unit change in x .

Calculations:

Draw a scatter plot of the given data. And fit a regression line on it using a graphing calculator.

  PRECALCULUS:GRAPHICAL,...-NASTA ED., Chapter 2.1, Problem 53E , additional homework tip 2

It can be seen that the regression line is y=0.12x+20.47 .

Conclusion:

The regression line is y=0.12x+20.47. Here x represents the number of years since 1990 and y represents the Fuel Economy in units of mpg.

The slope 0.12 represents the increase in y per unit increase in x .

c.

To Determine:

The fuel economy in the year 2020 using the linear regression model.

The fuel economy in the year 2020 estimated using the linear regression model is 24.07

mpg.

Given:

The data set:

    YearFuel Economy (mpg)
    199521.1
    200021.9
    200522.1
    201023.3
    201523.2

Assume x to be the number of years since 1990 .

Known from previous part:

The regression line is y=0.12x+20.47. Here x represents the number of years since 1990 and y represents the Fuel Economy in units of mpg.

Concepts Used:

Predicting the value of a variable using a linear regression model.

Substitution of a variable.

Calculations:

The year 2020 is 30 years after 1990 , thus x=30 .

Substitute x=30 in the linear regression model y=0.12x+20.47.

  y=0.12x+20.47=0.12×30+20.47=3.6+20.47=24.07

Conclusion:

The fuel economy in the year 2020 estimated using the linear regression model is 24.07

mpg.

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Chapter 2.1, Problem 52E
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Chapter 2.1, Problem 54E

Chapter 2 Solutions

PRECALCULUS:GRAPHICAL,...-NASTA ED.

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Prob. 9QRCh. 2.7 - Prob. 10QRCh. 2.7 - Prob. 1ECh. 2.7 - Prob. 2ECh. 2.7 - Prob. 3ECh. 2.7 - Prob. 4ECh. 2.7 - Prob. 5ECh. 2.7 - Prob. 6ECh. 2.7 - Prob. 7ECh. 2.7 - Prob. 8ECh. 2.7 - Prob. 9ECh. 2.7 - Prob. 10ECh. 2.7 - Prob. 11ECh. 2.7 - Prob. 12ECh. 2.7 - Prob. 13ECh. 2.7 - Prob. 14ECh. 2.7 - Prob. 15ECh. 2.7 - Prob. 16ECh. 2.7 - Prob. 17ECh. 2.7 - Prob. 18ECh. 2.7 - Prob. 19ECh. 2.7 - Prob. 20ECh. 2.7 - Prob. 21ECh. 2.7 - Prob. 22ECh. 2.7 - Prob. 23ECh. 2.7 - Prob. 24ECh. 2.7 - Prob. 25ECh. 2.7 - Prob. 26ECh. 2.7 - Prob. 27ECh. 2.7 - Prob. 28ECh. 2.7 - Prob. 29ECh. 2.7 - Prob. 30ECh. 2.7 - Prob. 31ECh. 2.7 - Prob. 32ECh. 2.7 - Prob. 33ECh. 2.7 - Prob. 34ECh. 2.7 - Prob. 35ECh. 2.7 - Prob. 36ECh. 2.7 - Prob. 37ECh. 2.7 - Prob. 38ECh. 2.7 - Prob. 39ECh. 2.7 - Prob. 40ECh. 2.7 - Prob. 41ECh. 2.7 - Prob. 42ECh. 2.7 - Prob. 43ECh. 2.7 - Prob. 44ECh. 2.7 - Prob. 45ECh. 2.7 - Prob. 46ECh. 2.7 - Prob. 47ECh. 2.7 - Prob. 48ECh. 2.7 - Prob. 49ECh. 2.7 - Prob. 50ECh. 2.7 - Prob. 51ECh. 2.7 - Prob. 52ECh. 2.7 - Prob. 53ECh. 2.7 - Prob. 54ECh. 2.7 - Prob. 55ECh. 2.8 - Prob. 1QRCh. 2.8 - Prob. 2QRCh. 2.8 - Prob. 3QRCh. 2.8 - Prob. 4QRCh. 2.8 - Prob. 5QRCh. 2.8 - Prob. 6QRCh. 2.8 - Prob. 7QRCh. 2.8 - Prob. 8QRCh. 2.8 - Prob. 9QRCh. 2.8 - Prob. 10QRCh. 2.8 - Prob. 1ECh. 2.8 - Prob. 2ECh. 2.8 - Prob. 3ECh. 2.8 - Prob. 4ECh. 2.8 - Prob. 5ECh. 2.8 - Prob. 6ECh. 2.8 - Prob. 7ECh. 2.8 - Prob. 8ECh. 2.8 - Prob. 9ECh. 2.8 - Prob. 10ECh. 2.8 - Prob. 11ECh. 2.8 - Prob. 12ECh. 2.8 - Prob. 13ECh. 2.8 - Prob. 14ECh. 2.8 - Prob. 15ECh. 2.8 - Prob. 16ECh. 2.8 - Prob. 17ECh. 2.8 - Prob. 18ECh. 2.8 - Prob. 19ECh. 2.8 - Prob. 20ECh. 2.8 - Prob. 21ECh. 2.8 - Prob. 22ECh. 2.8 - Prob. 23ECh. 2.8 - Prob. 24ECh. 2.8 - Prob. 25ECh. 2.8 - Prob. 26ECh. 2.8 - Prob. 27ECh. 2.8 - Prob. 28ECh. 2.8 - Prob. 29ECh. 2.8 - Prob. 30ECh. 2.8 - Prob. 31ECh. 2.8 - Prob. 32ECh. 2.8 - Prob. 33ECh. 2.8 - Prob. 34ECh. 2.8 - Prob. 35ECh. 2.8 - Prob. 36ECh. 2.8 - Prob. 37ECh. 2.8 - Prob. 38ECh. 2.8 - Prob. 39ECh. 2.8 - Prob. 40ECh. 2.8 - Prob. 41ECh. 2.8 - Prob. 42ECh. 2.8 - Prob. 43ECh. 2.8 - Prob. 44ECh. 2.8 - Prob. 45ECh. 2.8 - Prob. 46ECh. 2.8 - Prob. 47ECh. 2.8 - Prob. 48ECh. 2.8 - Prob. 49ECh. 2.8 - Prob. 50ECh. 2.8 - Prob. 51ECh. 2.8 - Prob. 52ECh. 2.8 - Prob. 53ECh. 2.8 - Prob. 54ECh. 2.8 - Prob. 55ECh. 2.8 - Prob. 56ECh. 2.8 - Prob. 57ECh. 2.8 - Prob. 58ECh. 2.8 - Prob. 59ECh. 2.8 - Prob. 60ECh. 2.8 - Prob. 61ECh. 2.8 - Prob. 62ECh. 2.8 - Prob. 63ECh. 2.8 - Prob. 64ECh. 2.8 - Prob. 65ECh. 2.8 - Prob. 66ECh. 2.8 - Prob. 67ECh. 2.8 - Prob. 68ECh. 2.8 - Prob. 69ECh. 2.8 - Prob. 70ECh. 2.8 - Prob. 71ECh. 2.8 - Prob. 72ECh. 2.8 - Prob. 75ECh. 2.8 - Prob. 76ECh. 2 - Prob. 1RECh. 2 - Prob. 2RECh. 2 - Prob. 3RECh. 2 - Prob. 4RECh. 2 - Prob. 5RECh. 2 - Prob. 6RECh. 2 - Prob. 7RECh. 2 - Prob. 8RECh. 2 - Prob. 9RECh. 2 - Prob. 10RECh. 2 - Prob. 11RECh. 2 - Prob. 12RECh. 2 - Prob. 13RECh. 2 - Prob. 14RECh. 2 - Prob. 15RECh. 2 - Prob. 16RECh. 2 - Prob. 17RECh. 2 - Prob. 18RECh. 2 - Prob. 19RECh. 2 - Prob. 20RECh. 2 - Prob. 21RECh. 2 - Prob. 22RECh. 2 - Prob. 23RECh. 2 - Prob. 24RECh. 2 - Prob. 25RECh. 2 - Prob. 26RECh. 2 - Prob. 27RECh. 2 - Prob. 28RECh. 2 - Prob. 29RECh. 2 - Prob. 30RECh. 2 - Prob. 31RECh. 2 - Prob. 32RECh. 2 - Prob. 33RECh. 2 - Prob. 34RECh. 2 - Prob. 35RECh. 2 - Prob. 36RECh. 2 - Prob. 37RECh. 2 - Prob. 38RECh. 2 - Prob. 39RECh. 2 - Prob. 40RECh. 2 - Prob. 41RECh. 2 - Prob. 42RECh. 2 - Prob. 43RECh. 2 - Prob. 44RECh. 2 - Prob. 45RECh. 2 - Prob. 46RECh. 2 - Prob. 47RECh. 2 - Prob. 48RECh. 2 - Prob. 49RECh. 2 - Prob. 50RECh. 2 - Prob. 51RECh. 2 - Prob. 52RECh. 2 - Prob. 53RECh. 2 - Prob. 54RECh. 2 - Prob. 55RECh. 2 - Prob. 56RECh. 2 - Prob. 57RECh. 2 - Prob. 58RECh. 2 - Prob. 59RECh. 2 - Prob. 60RECh. 2 - Prob. 61RECh. 2 - Prob. 62RECh. 2 - Prob. 63RECh. 2 - Prob. 64RECh. 2 - Prob. 65RECh. 2 - Prob. 66RECh. 2 - Prob. 67RECh. 2 - Prob. 68RECh. 2 - Prob. 69RECh. 2 - Prob. 70RECh. 2 - Prob. 71RECh. 2 - Prob. 72RECh. 2 - Prob. 73RECh. 2 - Prob. 74RECh. 2 - Prob. 75RECh. 2 - Prob. 76RECh. 2 - Prob. 77RECh. 2 - Prob. 78RECh. 2 - Prob. 79RECh. 2 - Prob. 80RECh. 2 - Prob. 81RECh. 2 - Prob. 82RECh. 2 - Prob. 83RECh. 2 - Prob. 84RECh. 2 - Prob. 85RECh. 2 - Prob. 86RECh. 2 - Prob. 87RECh. 2 - Prob. 88RECh. 2 - Prob. 89RECh. 2 - Prob. 90RECh. 2 - Prob. 91RECh. 2 - Prob. 92RECh. 2 - Prob. 93RECh. 2 - Prob. 94RECh. 2 - Prob. 95RECh. 2 - Prob. 96RECh. 2 - Prob. 97RECh. 2 - Prob. 98RECh. 2 - Prob. 99RE
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