
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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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].
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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
SAVE
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- quiz/attempt.php?attempt%3D8548511&cmid%3D751459&page%3D2 out of Instructions: Find the slope of the line. Use the forward slash g question (i.e. "/") for all fractions (e.g. -1/2 is the same as-). If the slope is undefined, type in "undefined." Make sure to reduce all fractions. -2- -5 -4 -3 -2 -1 2 4 -1t -2 -3 -5 m O Beaufo.. OLiterar.. O Art Ap... OMaster..arrow_forwardThe slope is 1.045, the question is, what does the slope tell us about the data?arrow_forwardOption C is incorrectarrow_forward
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