The researcher also ran the following simple linear regression model: Deaths = b, + b,(Income) + e, The following results were obtained from statistical software: Source Sum of Squares df Model 711680 I 50692661 49 Total. Error 51404341. 50 Variable Constant Coefficient 292.518 Standard Error 823.505 Income 0.050 0.060 Based on the above results, the researcher tested the hypotheses H,: b, = 0 15 versus H; b, '0. What do we know about the P-value of the test? A) P-value < 0.025 C) 0.05 < P-value < 0.10 B) 0.025 < P-value < 0.0s D) P-value > 0.10 Answer: What is the value of R" in the simple lincar regression model? 0.688 0.941 16. A) 0.014 C) D) B) 0.020 Answer: 17. Based on the above analyses, what can we conclude? The variable Income is statistically significant at level 0.05 as a predictor of the variable Deaths. A) B) The variable Income is statistically significant at level 0.05 as a predictor of the variable Deaths in a multiple regression model that includes the variable Children. C) The variable Income is not useful as a predictor of the variable Deaths and should be omitted from the analysis. D) The variable Children is not useful as a predictor of the variable Deaths, unless the variable Income is also present in the multiple regression model.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Topic Video
Question
Hi I know that you can’t answer all questions. Can you just answer question 17 please.
The researcher also ran the following simple linear
regression model:
Deaths = b, + b,(Income) + e;
The following results were obtained from statistical
software:
Source Sum of Squares df
711680 1
50692661 49
Total.
Model
Error
51404341.
50
Variable
Constant
Coefficient
292.518
Standard Error
823.505
Income
0.050
0.060
15
Based on the above results, the researcher tested the hypotheses H,: b, = 0
versus
H: b, 1 0. What do we know about the P-value of the test?
A)
B)
0.05 < P-value <0.10
P-value > 0.10
P-value < 0.025
C)
0.025 < P-value < 0.05
D)
Answer:
16.
What is the value of R' in the simple linear regression model?
A)
0.014
C)
0.688
B)
0.020
D)
0.941
Answer:
17.
Based on the above analyses, what can we conclude?
A)
The variable Income is statistically significant at level 0.05 as a predictor of the
variable Deaths.
B)
The variable Income is statistically significant at level 0.05 as a predictor of the
variable Deaths in a multiple regression model that includes the variable
Children.
C)
The variable Income is not useful as a predictor of the variable Deaths and
should be omitted from the analysis.
The variable Children is not useful as a predictor of the variable Deaths, unless
the variable Income is also present in the multiple regression model.
D)
Answer:
Use the following scenario to answer questions 18-25:
Battery life of MP3 players is of great concern to customers. A consumer group has
tested four brands of such players to determine the battery life. Samples of players of
each brand were fully charged and left to run at medium volume until the battery died.
The number of hours that each player ran was recorded. The following graphs and
tables from the analysis of the data are provided:
34
32-
30
28-
26-
24-
Transcribed Image Text:The researcher also ran the following simple linear regression model: Deaths = b, + b,(Income) + e; The following results were obtained from statistical software: Source Sum of Squares df 711680 1 50692661 49 Total. Model Error 51404341. 50 Variable Constant Coefficient 292.518 Standard Error 823.505 Income 0.050 0.060 15 Based on the above results, the researcher tested the hypotheses H,: b, = 0 versus H: b, 1 0. What do we know about the P-value of the test? A) B) 0.05 < P-value <0.10 P-value > 0.10 P-value < 0.025 C) 0.025 < P-value < 0.05 D) Answer: 16. What is the value of R' in the simple linear regression model? A) 0.014 C) 0.688 B) 0.020 D) 0.941 Answer: 17. Based on the above analyses, what can we conclude? A) The variable Income is statistically significant at level 0.05 as a predictor of the variable Deaths. B) The variable Income is statistically significant at level 0.05 as a predictor of the variable Deaths in a multiple regression model that includes the variable Children. C) The variable Income is not useful as a predictor of the variable Deaths and should be omitted from the analysis. The variable Children is not useful as a predictor of the variable Deaths, unless the variable Income is also present in the multiple regression model. D) Answer: Use the following scenario to answer questions 18-25: Battery life of MP3 players is of great concern to customers. A consumer group has tested four brands of such players to determine the battery life. Samples of players of each brand were fully charged and left to run at medium volume until the battery died. The number of hours that each player ran was recorded. The following graphs and tables from the analysis of the data are provided: 34 32- 30 28- 26- 24-
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

Blurred answer
Knowledge Booster
Data Collection, Sampling Methods, and Bias
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman