Statistics for Management and Economics (Book Only)
11th Edition
ISBN: 9781337296946
Author: Gerald Keller
Publisher: Cengage Learning
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Question
Chapter 18.4, Problem 38E
a:
To determine
Regression process.
b:
To determine
Compare the results.
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Students have asked these similar questions
A marketing analyst wants to examine the relationship between sales (in $1,000s) and advertising (in $100s) for firms in the food and
beverage industry and so collects monthly data for 25 firms. He estimates the model:
Sales 6g + 61 Advertising + e. The following table shows a portion of the regression results.
Coefficients
Standard Error
t-stat
p-value
40.10
14.88
2.848
0.0052
Intercept
Advertising
2.88
1.52
-1.895
0.0608
When testing whether Advertising is significant at the 10% significance level, the conclusion is to
Multiple Choice
reject Hg, we can conclude advertising is significant
not reject He; we cannot conclude advertising is significant
reject He; we cannot conclude advertising is significant
not reject He; we can conclude advertising is significant
QUESTION 1
Suppose a researcher collects data on houses that have been sold in a particular neighbourhood over the past year, and obtains the regressions results in the table shown below. This table is
used for Questions 1-6.
Dependent variable: In(Price)
Regressor
(1)
(2)
(3)
(4)
(5)
0.00042
(0.000038)
Size
In(Size)
0.57
(2.03)
0.69
0.68
0.69
(0.055)
(0.054)
(0.087)
In(Size)²
0.0078
(0.14)
Bedrooms
0.0036
(0.037)
Рol
0.082
0.071
0.071
0.071
0.071
(0.032)
(0.034)
(0.034)
(0.036)
(0.035)
0.037
0.027
0.026
0.027
0.027
(0.030)
View
(0.029)
(0.028)
(0.026)
(0.029)
Pool x View
0.0022
(0.10)
0.12
(0.035)
Condition
0.13
0.12
0.12
(0.035)
0.12
(0.045)
(0.035)
(0.036)
6.63
(0.53)
Intercept
10.97
6.60
7.02
6.60
(0.069)
(0.39)
(7.50)
(0.40)
Summary Statistics
SER
0.102
0.098
0.099
0.099
0.099
R?
0.72
0.74
0.73
0.73
0.73
Variable definitions: Price = sale price ($); Size = house size (in square feet); Bedrooms = number of bedrooms; Pool = binary
variable (1 if house has a swimming pool, 0…
Interpret the coefficients in the regression model
Chapter 18 Solutions
Statistics for Management and Economics (Book Only)
Ch. 18.1 - Prob. 1ECh. 18.1 - Prob. 2ECh. 18.1 - Prob. 3ECh. 18.1 - Prob. 4ECh. 18.1 - Prob. 5ECh. 18.1 - Prob. 6ECh. 18.1 - Prob. 7ECh. 18.1 - Prob. 8ECh. 18.1 - Prob. 9ECh. 18.1 - Prob. 10E
Ch. 18.2 - Prob. 11ECh. 18.2 - Prob. 12ECh. 18.2 - Prob. 13ECh. 18.2 - Prob. 14ECh. 18.2 - Prob. 15ECh. 18.2 - Prob. 16ECh. 18.2 - Prob. 17ECh. 18.2 - Prob. 18ECh. 18.2 - Prob. 19ECh. 18.2 - Prob. 20ECh. 18.2 - Prob. 21ECh. 18.2 - Prob. 22ECh. 18.2 - Prob. 23ECh. 18.2 - Prob. 24ECh. 18.2 - Prob. 25ECh. 18.2 - Prob. 26ECh. 18.2 - Prob. 27ECh. 18.2 - Prob. 28ECh. 18.2 - Prob. 29ECh. 18.2 - Prob. 30ECh. 18.2 - Prob. 31ECh. 18.2 - Prob. 32ECh. 18.2 - Prob. 33ECh. 18.3 - Prob. 34ECh. 18.3 - Prob. 35ECh. 18.3 - Prob. 36ECh. 18.3 - Prob. 37ECh. 18.4 - Prob. 38ECh. 18.4 - Prob. 39ECh. 18.4 - Prob. 40ECh. 18.4 - Prob. 41ECh. 18.4 - Prob. 42ECh. 18 - Prob. 43CECh. 18 - Prob. 44CECh. 18 - Prob. 45CECh. 18 - Prob. 46CECh. 18 - Prob. 47CECh. 18 - Prob. 48CECh. 18 - Prob. 49CE
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