Intro Stats, Books a la Carte Edition (5th Edition)
5th Edition
ISBN: 9780134210285
Author: Richard D. De Veaux, Paul Velleman, David E. Bock
Publisher: PEARSON
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Concept explainers
Question
Chapter 9, Problem 8E
a.
To determine
Write the multiple regression model.
b.
To determine
Give the interpretation of the coefficient of Precip in the regression model.
c.
To determine
Find the slope of the least square regression line in the partial regression plot.
d.
To determine
Identify the way the removal of the high-speed wind, the Hurricane Irene, would affect the coefficient of Precip in the multiple regression.
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D e f with working and explaination
You run a regression of Iowa crop yield per acre on average growing season temperature, average growing season rainfall, and average growing season total precipitation. You get the following results:
Data Table
Variable
Coefficient
Std. Error
t value
p-value
(Intercept)
103.4183
42.891
2.411
0.0161
Temp
1.9446
0.0636
30.577
0.000001
Rain
43.988
21.1693
2.078
0.038
Precipitation
−46.5995
21.1768
−2.2
0.028
What problem(s) do you think this regression has?
Group of answer choices
a) Omitted variable of how much fertilizer was used. This will impact the Rain coefficient.
b) Multi-collinearity. Rain and precipitation are very highly correlated, their estimates are unreliable.
c) Huge outliers are driving the result from years in drought.
d) No issues, regression is probably fine.
Type the regression equation for “Area” and “Biomass” in context into your document.
Interpret the slope of the regression line (in context of this data set) for “Area” and “Biomass”.
is it meaningful to interpret the y-intercept for “Area” and “Biomass”? Why or why not?
Chapter 9 Solutions
Intro Stats, Books a la Carte Edition (5th Edition)
Ch. 9.4 - Recall the regression example in Chapter 7 to...Ch. 9.4 - Prob. 2JCCh. 9.4 - Prob. 3JCCh. 9 - Housing prices The following regression model was...Ch. 9 - Candy sales A candy maker surveyed chocolate bars...Ch. 9 - Prob. 3ECh. 9 - Prob. 4ECh. 9 - Prob. 5ECh. 9 - Prob. 6ECh. 9 - Movie profits once more Look back at the...
Ch. 9 - Prob. 8ECh. 9 - Prob. 9ECh. 9 - More indicators For each of these potential...Ch. 9 - Interpretations A regression performed to predict...Ch. 9 - Prob. 12ECh. 9 - Prob. 13ECh. 9 - Scottish hill races Hill runningraces up and down...Ch. 9 - Prob. 15ECh. 9 - Candy bars per serving: calories A student...Ch. 9 - Prob. 17ECh. 9 - More hill races Here is the regression for the...Ch. 9 - Prob. 19ECh. 9 - Home prices II Here are some diagnostic plots for...Ch. 9 - Admin performance The AFL-CIO has undertaken a...Ch. 9 - GPA and SATs A large section of Stat 101 was asked...Ch. 9 - Prob. 23ECh. 9 - Breakfast cereals We saw in Chapter 7 that the...Ch. 9 - Breakfast cereals again We saw a model in Exercise...Ch. 9 - Prob. 26ECh. 9 - Hand dexterity Researchers studied the dexterity...Ch. 9 - Candy bars with nuts The data on candy bars per...Ch. 9 - Scottish hill races, men and women The Scottish...Ch. 9 - Scottish hill races, men and women climbing The...
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