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 1 Error 50692661 49 Total. 51404341. 50 Coefficient 292.518 Variable Standard Error Constant 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? 0.05 < P-value <0.10 P-value > 0.10 A) P-value < 0.025 C) D) B) 0.025 < P-value <0.05

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Hi I know that you can’t answer all questions. Can you just answer question 15 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-
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