The Basic Practice of Statistics
8th Edition
ISBN: 9781319057916
Author: Moore
Publisher: MAC HIGHER
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Chapter 29.9, Problem 26AYK
a.
To determine
To show: The estimated regression equation with explanatory variables (length and width) for predicting the weight.
b.
To determine
To identify: The variation explained by the explanatory variables in part (a).
c.
To determine
To check: Whether the ANOVA table shows that at least one of the explanatory variable helps in predicting the weight of perch.
d.
To determine
To explain: Whether the individual (t) tests show that
e.
To determine
To find: The estimated regression equation.
f.
To determine
To identify: The variation explained by the explanatory variables in part (e).
g.
To determine
To check: Whether the ANOVA table provided in part (e) shows that at least one of the explanatory variable helps in predicting the weight of perch.
h.
To determine
To describe: The change in the individual (t) test statistics because of using the interaction term in the model.
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I just need to know why this is wrong below:
What is the test statistic W? W=5 (incorrect)
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What is the p-value of this test? (p-value < 0.001-- incorrect)
Use the Wilcoxon signed rank test to test the hypothesis that the median number of pages in the statistics books in the library from which the sample was taken is 400. A sample of 12 statistics books have the following numbers of pages
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What is the sum of the negative ranks (W-)? 75 What is the sum of the positive ranks (W+)? 5What type of test is this? two tailedWhat is the test statistic W? 5 These are the critical values for a 1-tailed Wilcoxon Signed Rank test for n=12
Alpha Level
0.001
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0.01
0.025
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0.1
0.2
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ons
12. A sociologist hypothesizes that the crime rate is higher in areas
with higher poverty rate and lower median income. She col-
lects data on the crime rate (crimes per 100,000 residents),
the poverty rate (in %), and the median income (in $1,000s)
from 41 New England cities. A portion of the regression results
is shown in the following table.
Standard
Coefficients
error
t stat
p-value
Intercept
-301.62
549.71
-0.55 0.5864
Poverty
53.16
14.22
3.74 0.0006
Income
4.95
8.26
0.60 0.5526
a.
b.
Are the signs as expected on the slope coefficients?
Predict the crime rate in an area with a poverty rate of
20% and a median income of $50,000.
3. Using data from 50 work
2. The owner of several used-car dealerships believes that the
selling price of a used car can best be predicted using the car's
age. He uses data on the recent selling price (in $) and age of
20 used sedans to estimate Price = Po + B₁Age + ε. A portion
of the regression results is shown in the accompanying table.
Standard
Coefficients
Intercept
21187.94
Error
733.42
t Stat p-value
28.89 1.56E-16
Age
-1208.25
128.95 -9.37
2.41E-08
a. What is the estimate for B₁? Interpret this value.
b. What is the sample regression equation?
C. Predict the selling price of a 5-year-old sedan.
Chapter 29 Solutions
The Basic Practice of Statistics
Ch. 29.1 - Prob. 1AYKCh. 29.1 - Prob. 2AYKCh. 29.2 - Prob. 3AYKCh. 29.2 - Prob. 4AYKCh. 29.2 - Prob. 5AYKCh. 29.3 - Prob. 6AYKCh. 29.3 - Prob. 7AYKCh. 29.4 - Prob. 8AYKCh. 29.4 - Prob. 9AYKCh. 29.6 - Prob. 11AYK
Ch. 29.6 - Prob. 13AYKCh. 29.6 - Prob. 15AYKCh. 29.6 - Prob. 17AYKCh. 29.7 - Prob. 18AYKCh. 29.7 - Prob. 19AYKCh. 29.7 - Prob. 20AYKCh. 29.8 - Prob. 22AYKCh. 29.8 - Prob. 23AYKCh. 29.9 - Prob. 24AYKCh. 29.9 - Prob. 25AYKCh. 29.9 - Prob. 26AYKCh. 29.10 - Prob. 27AYKCh. 29.10 - Prob. 28AYKCh. 29.11 - Prob. 30AYKCh. 29.11 - Prob. 31AYKCh. 29 - Prob. 29.32CYSCh. 29 - Prob. 29.33CYSCh. 29 - Prob. 29.34CYSCh. 29 - Prob. 29.35CYSCh. 29 - Prob. 29.36CYSCh. 29 - Prob. 29.37CYSCh. 29 - Prob. 29.38CYSCh. 29 - Prob. 29.39CYSCh. 29 - Prob. 29.40CYSCh. 29 - Prob. 29.41CYSCh. 29 - Prob. 29.46ECh. 29 - Prob. 29.47ECh. 29 - Prob. 29.48ECh. 29 - Prob. 29.49ECh. 29 - Prob. 29.51ECh. 29 - Prob. 29.52ECh. 29 - Prob. 29.53ECh. 29 - Prob. 29.54E
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