Elementary Statistics
12th Edition
ISBN: 9780321836960
Author: Mario F. Triola
Publisher: PEARSON
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Chapter 10.3, Problem 17BSC
Regression and Predictions. Exercises 13-28 use the same data sets as Exercises 13-28 in Section 10-2. In each cast, find the regression equation, letting the first variable be the predictor (x) variable. Find the indicated predicted value by following the prediction procedure summarized in Figure 10-5.
17. Town Courts The court for the town of Beckman had income of $83,941 (or $83.941 thousand). Find the best predicted salary for the justice. Is the result close to the actual salary of $26,088?
| Court Income | 65 | 404 | 1567 | 1131 | 272 | 252 | 111 | 154 | 32 |
| Justice Salary | 30 | 44 | 92 | 56 | 46 | 61 | 25 | 26 | 18 |
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KidsFeet Regression Analysis Code
The KidsFeet dataframe contains data collected on 39 fourth grade students in Ann Arbor, MI, in October 1997. Two of the measurements taken on the children were the length in centimeters, (length), and width in centimeters, (width), of their longest foot. This data could be used to answer the following
Research Question: How is the width of a fourth-grade student's foot related to the length?
Which of the following lines of code resulted in the following plot and regression analysis? Hint: More than one choice may be correct.
## ## Simple Linear Regression## ## Correlation coefficient r = 0.6411 ##
## Equation of Regression Line:## ## length = 9.817 + 1.658 * width ## ## Residual Standard Error: s = 1.025 ## R^2 (unadjusted): R^2 = 0.411
( ) KidsFeetMod<-lmGC(length~width,data=KidsFeet)
KidsFeetMod
( ) lmGC(width~length,data=KidsFeet,graph=TRUE)
( ) KidsFeetMod<-lmGC(width~length,data=KidsFeet)…
KidsFeet Regression Line y-Intercept
The KidsFeet dataframe contains data collected on 39 fourth grade students in Ann Arbor, MI, in October 1997. Two of the measurements taken on the children were the length in centimeters, (length), and width in centimeters, (width), of their longest foot. This data could be used to answer the following
Research Question: How is the width of a fourth-grade student's foot related to the length?
Which of the following is the y-intercept of the regression line?
## ## Simple Linear Regression## ## Correlation coefficient r = 0.6411 ## ## Equation of Regression Line:## ## length = 9.817 + 1.658 * width ## ## Residual Standard Error: s = 1.025 ## R^2 (unadjusted): R^2 = 0.411
( ) 1.0248
( ) 1.6576
( ) 22.8153
( ) 0.411
( ) 9.8172
( )0.6411
STER.
1. Wine Consumption. The table below gives the U.S. adult wine consumption, in gallons per
person per year, for selected years from 1980 to 2005.
a) Create a scatterplot for the data. Graph the scatterplot
Year
Wine
below.
Consumption
2.6
b) Determine what type of model is appropriate for the
1980
data.
1985
2.3
c) Use the appropriate regression on your calculator to find a
Graph the regression equation in the same coordinate
plane below.
d) According to your model, in what year was wine
consumption at a minimum? A
e) Use your model to predict the wine consumption in
2008.
1990
2.0
1995
2.1
2000
2.5
2005
2.8
Chapter 10 Solutions
Elementary Statistics
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