Mind on Statistics
5th Edition
ISBN: 9781285463186
Author: Jessica M. Utts, Robert F. Heckard
Publisher: Brooks Cole
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Question
Chapter 3, Problem 3.97E
To determine
(a)
To plot and
To determine
(b)
To determine regression equation.
To determine
(c)
To estimate average difference for men who weigh 200 pounds.
To determine
(d)
To find value of r2
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A company believes that the variation in the cost of a shipment can be explained by the weight of
the package. A sample of 20 customer shipments was selected, and this scatter plot and
regression line were obtained:
Shipping
y = 1.101x + 4.4995
r= 0.8764
30
25
20
15
10
5
10
15
20
25
Weight (Ib)
a. Find r' and interpret the meaning of r in the context of this problem.
b. Interpret the meaning of the slope in the context of this problem.
c. Interpret the meaning of the y-intercept in the context of this problem. Explain whether or
not it makes sense.
d. Using the regression equation, calculate the expected cost of a package that weighs 11 lbs.
e. Using the regression equation, find the weight of a package that cost $20 to ship.
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At a fish market, different measurements of a certain type of fish were recorded for a sample of 35 fish. An analysist used the data to
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results of the multiple linear regression to predict the weight of the fish are as follows:
Regression Statistics
Multiple R
R Square
0.971
0.943
Adjusted R Square
0.937
Standard Error
52.428
Observations
35
df
Significance F
ANOVA
MS
F
Regression
3
1402868
467622.7
170.1224
0.0000
Residual
31
85211
2748.742
Total
34
1488079
Coefficients
Standard Error
t Stat
P-value
-13.2
Intercept
Length
-1009.0
76.5
0.0000
12.8
7.5
1.7
0.0971
Height
63.1
15.9
3.9
0.0004
Width
51.6
34.0
1.5
0.1391
1. What percentage of variation in weight is not explained by the regression model? Give your
answer correct to 1 decimal place.
2. Use the ANOVA p-value to test the appropriate hypothesis at the 5% level of significance. For each one of…
Louis Katz, a cost accountant at Papalote Plastics, Inc. (PPI), is analyzing the manufacturing costs of a molded plastic telephone
handset produced by PPI. Louis's independent variable is production lot size (in 1,000's of units), and his dependent variable is the
total cost of the lot (in $100's). Regression analysis of the data yielded the following tables.
Intercept
Source
Coefficients
Total
df
11
3.996
SS
F
Regression 1 9.858769 9.858769 12.22345
Residual
8.872 0.806545
0.358
Save for Later
Standard Error
Using a=0.05, Louis should
12 18.73077
O suspend judgment
O not reject Ho: Po=0
O reject Ho: 1₁=0
O increase the sample size
O not reject Ho: 1-0
p-value
1.161268 3.441065 0.004885
0.102397 3.496205 0.004413
t Statistic
MS
Se = 0.898
r² = 0.526341
Chapter 3 Solutions
Mind on Statistics
Ch. 3 - For each of the following pairs of variables, is...Ch. 3 - For each of the following pairs of variables, is...Ch. 3 - The figure for this exercise is a scatter plot of...Ch. 3 - Prob. 3.4ECh. 3 - Prob. 3.5ECh. 3 - Prob. 3.6ECh. 3 - Prob. 3.7ECh. 3 - Prob. 3.8ECh. 3 - The data in the following table are the geographic...Ch. 3 - Refer to the latitude and temperature data in the...
Ch. 3 - Prob. 3.11ECh. 3 - The following table shows sex, height (inches),...Ch. 3 - Prob. 3.13ECh. 3 - Refer to Exercise 3.13 in which a regression...Ch. 3 - Prob. 3.15ECh. 3 - Prob. 3.16ECh. 3 - The equation for converting a temperature from x =...Ch. 3 - The average August temperatures (y) and geographic...Ch. 3 - A regression equation for y = handspan (cm) and x...Ch. 3 - Imagine a regression line that relates y average...Ch. 3 - Prob. 3.21ECh. 3 - The figure for Exercise 3.8 is a scatterplot of...Ch. 3 - Refer to Exercise 3.22. Predict the pulse rate...Ch. 3 - The average January temperatures (y) and...Ch. 3 - Prob. 3.25ECh. 3 - Prob. 3.26ECh. 3 - Prob. 3.27ECh. 3 - Remember that r2 can be expressed as a proportion...Ch. 3 - Prob. 3.29ECh. 3 - Prob. 3.30ECh. 3 - Prob. 3.31ECh. 3 - Prob. 3.32ECh. 3 - Prob. 3.33ECh. 3 - Explain how two variables can have a perfect...Ch. 3 - Prob. 3.35ECh. 3 - Prob. 3.36ECh. 3 - The figure for this exercise (below) shows four...Ch. 3 - Refer to the figure for the previous exercises. In...Ch. 3 - Prob. 3.39ECh. 3 - Prob. 3.40ECh. 3 - Prob. 3.41ECh. 3 - Prob. 3.42ECh. 3 - Prob. 3.43ECh. 3 - The correlation between latitude and average...Ch. 3 - Prob. 3.45ECh. 3 - Prob. 3.46ECh. 3 - In a regression analysis, the total sum of squares...Ch. 3 - Prob. 3.48ECh. 3 - Suppose you know that the slope of a regression...Ch. 3 - Prob. 3.50ECh. 3 - Prob. 3.51ECh. 3 - Prob. 3.53ECh. 3 - Prob. 3.54ECh. 3 - Refer back to Exercise 3.7 about stopping distance...Ch. 3 - Prob. 3.56ECh. 3 - Prob. 3.57ECh. 3 - Prob. 3.58ECh. 3 - Prob. 3.59ECh. 3 - Prob. 3.60ECh. 3 - Prob. 3.61ECh. 3 - Prob. 3.62ECh. 3 - Prob. 3.63ECh. 3 - Prob. 3.64ECh. 3 - Prob. 3.65ECh. 3 - Prob. 3.66ECh. 3 - Prob. 3.67ECh. 3 - Prob. 3.68ECh. 3 - Prob. 3.69ECh. 3 - Prob. 3.70ECh. 3 - Prob. 3.71ECh. 3 - Given tickets for traffic violations than drivers...Ch. 3 - Prob. 3.73ECh. 3 - Prob. 3.74ECh. 3 - Prob. 3.75ECh. 3 - Prob. 3.76ECh. 3 - Prob. 3.77ECh. 3 - Prob. 3.78ECh. 3 - Prob. 3.79ECh. 3 - The heights (inches) and foot lengths (cm) of 33...Ch. 3 - Prob. 3.81ECh. 3 - The winning time in the Olympic men’s 500-meter...Ch. 3 - Prob. 3.83ECh. 3 - Prob. 3.84ECh. 3 - Prob. 3.86ECh. 3 - Prob. 3.87ECh. 3 - Prob. 3.88ECh. 3 - Prob. 3.89ECh. 3 - Use the dataset ceodata0t on the companion website...Ch. 3 - Prob. 3.91ECh. 3 - Prob. 3.92ECh. 3 - Prob. 3.93ECh. 3 - Prob. 3.94ECh. 3 - Prob. 3.95ECh. 3 - Prob. 3.96ECh. 3 - Prob. 3.97ECh. 3 - Prob. 3.98ECh. 3 - Prob. 3.99ECh. 3 - Prob. 3.100E
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