14. Based on these results, a 95% confidence interval for . the coefficient of the variable $ Per Pupil, is approximately A) 0.012169 = 0.0031. B) 0.012169 0.0052. C) -0.012169 +0.0062. D) -0.012169 +0.0083.

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Hi I know that you can’t answer every question is there anyway you can just answer question 14 please?
3:04
Вack
Use the following additional information to answer questions 14
and 15:
Another researcher, using the same data, ran the following
simple linear regression model:
SATM = L + O ($ Per Pupil) + O.
The following results were obtained from statistical software:
Source Sum of Squares df
Model
Error
14022.71
45727.4 49
Coefficient Standard Error
560.374
S Per Pupil-0.012169
Variable
Constant
16.80
0.0031
14. Based on these results, a 95% confidence interval for D, the coefficient of the variable $
Per Pupil, is approximately
A) 0.012169 0.0031.
B)0.012169 0.0052.
C)
-0.012169 +0.0062.
D)
-0.012169 ±0.0083
15. The first researcher concluded that because the coefficient for the variable S Per Pupil
was positive in his results, spending additional money on students would have a positive
effect on SATM scores. This researcher therefore recommended more money be spent on
students. The second researcher concluded that because the coefficient for the variable S
Per Pupil was negative in his results, spending additional money on students would have
a negative effect on SATM scores. This researcher therefore recommended less money
be spent on students. Why are these two conclusions different even though the
researchers used the same data?
A) An error must have been made by one of the researchers.
B) Both researchers failed to take into account that in their analyses, . the coefficient of the
variable S Per Pupil, was not statistically significant at even the 0.10 significance level.
Hence, neither researcher could conclude that , was significantly different from 0.
C) The researchers did not use the same set of explanatory variables in their models.
D There must have been an influential observation in the data, rendering the analyses
inappropriate.
Use the following to answer questions 16–20:
In a study on scholastic test scores of entering college freshmen,
a random sample of colleges across the nation is selected and the
average SAT Math score for the freshman class is recorded. The
colleges are categorized according to their affiliation: Public,
Private, or Church. Does it appear that freshmen entering the
three different types of schools do equally well on the SAT
Math? Computer output is included below:
Source Sum of Squares DF Mean Square F P-value
Groups 63906.2
Error 353440.2
2 31953.1
5.696 0.005
63
5610.2
Total
417346.4
How many colleges were included in the study'
JA)3
C)
65
3
89
ooo
00
Dashboard
Calendar
To Do
Notifications
Inbox
Transcribed Image Text:3:04 Вack Use the following additional information to answer questions 14 and 15: Another researcher, using the same data, ran the following simple linear regression model: SATM = L + O ($ Per Pupil) + O. The following results were obtained from statistical software: Source Sum of Squares df Model Error 14022.71 45727.4 49 Coefficient Standard Error 560.374 S Per Pupil-0.012169 Variable Constant 16.80 0.0031 14. Based on these results, a 95% confidence interval for D, the coefficient of the variable $ Per Pupil, is approximately A) 0.012169 0.0031. B)0.012169 0.0052. C) -0.012169 +0.0062. D) -0.012169 ±0.0083 15. The first researcher concluded that because the coefficient for the variable S Per Pupil was positive in his results, spending additional money on students would have a positive effect on SATM scores. This researcher therefore recommended more money be spent on students. The second researcher concluded that because the coefficient for the variable S Per Pupil was negative in his results, spending additional money on students would have a negative effect on SATM scores. This researcher therefore recommended less money be spent on students. Why are these two conclusions different even though the researchers used the same data? A) An error must have been made by one of the researchers. B) Both researchers failed to take into account that in their analyses, . the coefficient of the variable S Per Pupil, was not statistically significant at even the 0.10 significance level. Hence, neither researcher could conclude that , was significantly different from 0. C) The researchers did not use the same set of explanatory variables in their models. D There must have been an influential observation in the data, rendering the analyses inappropriate. Use the following to answer questions 16–20: In a study on scholastic test scores of entering college freshmen, a random sample of colleges across the nation is selected and the average SAT Math score for the freshman class is recorded. The colleges are categorized according to their affiliation: Public, Private, or Church. Does it appear that freshmen entering the three different types of schools do equally well on the SAT Math? Computer output is included below: Source Sum of Squares DF Mean Square F P-value Groups 63906.2 Error 353440.2 2 31953.1 5.696 0.005 63 5610.2 Total 417346.4 How many colleges were included in the study' JA)3 C) 65 3 89 ooo 00 Dashboard Calendar To Do Notifications Inbox
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