X - I View History Profiles Bookmarks Tab Window Help ccc Calendar Final Presentat X Noah Ramirez × DVC Quiz: Quiz Ch. a Prime Video | X New Tab nstructure.com/courses/98507/quizzes/537611/take d. ect Zoom ect Zoom TABLE 12-9 It is believed that the average numbers of hours spent studying per day (HOURS) during undergraduate education should have a positive linear relationship with the starting salary (SALARY, measured in thousands of dollars per month) after graduation. Given below is the Excel output from regressing starting salary on number of hours spent studying per day for a sample of 51 students. NOTE: Some of the numbers in the output are purposely erased. ements ary dent Regression Statistics Multiple R 0.8857 R Square 0.7845 Adjusted R Square 0.7801 Standard Error 1.3704 Observations 51 ANOVA oring df Regression Residual SS 335.0472 MS 335.0473 1.8782 F 178.3859 Significance F pport Hub Total 50 427.0798 Standard ft Teams Intercept Hours -1.8940 0.9795 Coefficients Error t Stat 0.4018 4.7134 0.0733 13.3561 P-value 2.051E-05 5.944E-18 Lower 95% -2.7015 0.8321 Upper 95% -1.0865 1.1269 35 r brary zoom Referring to Table 12-9, the 90% confidence interval for the average change in SALARY (in thousands of dollars) as a result of spending an extra hour per day studying is C O wider than [-2.70159, -1.08654]. MAY 5 LO Ը tv TO MacBook Pro Search or type URL A + $ % & 2 3 4 5 6 7 8 9 W LU R T Y U 0 O F
X - I View History Profiles Bookmarks Tab Window Help ccc Calendar Final Presentat X Noah Ramirez × DVC Quiz: Quiz Ch. a Prime Video | X New Tab nstructure.com/courses/98507/quizzes/537611/take d. ect Zoom ect Zoom TABLE 12-9 It is believed that the average numbers of hours spent studying per day (HOURS) during undergraduate education should have a positive linear relationship with the starting salary (SALARY, measured in thousands of dollars per month) after graduation. Given below is the Excel output from regressing starting salary on number of hours spent studying per day for a sample of 51 students. NOTE: Some of the numbers in the output are purposely erased. ements ary dent Regression Statistics Multiple R 0.8857 R Square 0.7845 Adjusted R Square 0.7801 Standard Error 1.3704 Observations 51 ANOVA oring df Regression Residual SS 335.0472 MS 335.0473 1.8782 F 178.3859 Significance F pport Hub Total 50 427.0798 Standard ft Teams Intercept Hours -1.8940 0.9795 Coefficients Error t Stat 0.4018 4.7134 0.0733 13.3561 P-value 2.051E-05 5.944E-18 Lower 95% -2.7015 0.8321 Upper 95% -1.0865 1.1269 35 r brary zoom Referring to Table 12-9, the 90% confidence interval for the average change in SALARY (in thousands of dollars) as a result of spending an extra hour per day studying is C O wider than [-2.70159, -1.08654]. MAY 5 LO Ը tv TO MacBook Pro Search or type URL A + $ % & 2 3 4 5 6 7 8 9 W LU R T Y U 0 O F
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![X
- I
View
History
Profiles
Bookmarks
Tab Window Help
ccc
Calendar
Final Presentat X
Noah Ramirez
×
DVC Quiz: Quiz Ch.
a Prime Video | X
New Tab
nstructure.com/courses/98507/quizzes/537611/take
d.
ect Zoom
ect Zoom
TABLE 12-9
It is believed that the average numbers of hours spent studying per day
(HOURS) during undergraduate education should have a positive linear
relationship with the starting salary (SALARY, measured in thousands of
dollars per month) after graduation. Given below is the Excel output
from regressing starting salary on number of hours spent studying per
day for a sample of 51 students. NOTE: Some of the numbers in the
output are purposely erased.
ements
ary
dent
Regression Statistics
Multiple R
0.8857
R Square
0.7845
Adjusted R Square
0.7801
Standard Error
1.3704
Observations
51
ANOVA
oring
df
Regression
Residual
SS
335.0472
MS
335.0473
1.8782
F
178.3859
Significance F
pport Hub
Total
50 427.0798
Standard
ft Teams
Intercept
Hours
-1.8940
0.9795
Coefficients Error
t Stat
0.4018 4.7134
0.0733 13.3561
P-value
2.051E-05
5.944E-18
Lower 95%
-2.7015
0.8321
Upper 95%
-1.0865
1.1269
35
r
brary
zoom
Referring to Table 12-9, the 90% confidence interval for the average
change in SALARY (in thousands of dollars) as a result of spending an
extra hour per day studying is
C
O wider than [-2.70159, -1.08654].
MAY
5
LO
Ը
tv
TO
MacBook Pro
Search or type URL
A
+
$
%
&
2
3
4
5
6
7
8
9
W
LU
R
T
Y
U
0
O
F](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0262249f-e80c-477a-bec3-1a36b809391d%2F8dbf1335-6d74-4cf9-bbfe-bf22cf0a8b8d%2Fpfv7b9_processed.jpeg&w=3840&q=75)
Transcribed Image Text:X
- I
View
History
Profiles
Bookmarks
Tab Window Help
ccc
Calendar
Final Presentat X
Noah Ramirez
×
DVC Quiz: Quiz Ch.
a Prime Video | X
New Tab
nstructure.com/courses/98507/quizzes/537611/take
d.
ect Zoom
ect Zoom
TABLE 12-9
It is believed that the average numbers of hours spent studying per day
(HOURS) during undergraduate education should have a positive linear
relationship with the starting salary (SALARY, measured in thousands of
dollars per month) after graduation. Given below is the Excel output
from regressing starting salary on number of hours spent studying per
day for a sample of 51 students. NOTE: Some of the numbers in the
output are purposely erased.
ements
ary
dent
Regression Statistics
Multiple R
0.8857
R Square
0.7845
Adjusted R Square
0.7801
Standard Error
1.3704
Observations
51
ANOVA
oring
df
Regression
Residual
SS
335.0472
MS
335.0473
1.8782
F
178.3859
Significance F
pport Hub
Total
50 427.0798
Standard
ft Teams
Intercept
Hours
-1.8940
0.9795
Coefficients Error
t Stat
0.4018 4.7134
0.0733 13.3561
P-value
2.051E-05
5.944E-18
Lower 95%
-2.7015
0.8321
Upper 95%
-1.0865
1.1269
35
r
brary
zoom
Referring to Table 12-9, the 90% confidence interval for the average
change in SALARY (in thousands of dollars) as a result of spending an
extra hour per day studying is
C
O wider than [-2.70159, -1.08654].
MAY
5
LO
Ը
tv
TO
MacBook Pro
Search or type URL
A
+
$
%
&
2
3
4
5
6
7
8
9
W
LU
R
T
Y
U
0
O
F
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