What is the standard error estimate State H0 and H1 What’s the p value Did you reject H0
What is the standard error estimate State H0 and H1 What’s the p value Did you reject H0
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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59
59
59
59
59
79
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79
79
79
79
79
99
99
99
99
99
99
Promotional expenses
200
200
400
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200
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800
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200
400
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3519
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3636
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4113
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What is the standard error estimate
State H0 and H1
What’s the p value
Did you reject H0

Transcribed Image Text:SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Squa
Standard Error
I DON'T
WANT TO GO
HUNTING
FOR
KNOWLEDGE:
0.4512
0.2036
0.1538
190.5463
I WANT
IT TO
COME AND
GRAB ME.
Observations
18
ANOVA
df
SS
MS
F
Significance
Regression
Residual
Total
148518 148517.9
580927 36307.91
1
4.0905 0.0602
16
17
729444
Coefficients
Standard
t Stat
Lower
P-value
Error
95%
Intercept
Sales (Number
140.9059 138.346
1.018506
0.3236 -152.4
0.08252
0.0408
2.022501
0.0602
-0.004
SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Squa
Standard Error
0.7505
0.5633
0.536
771.5549
Observations
18
ANOVA
df
SS
MS
F
Significance
Regression
Residual
1 1.2E+07 12285680
20.638 0.0003
16 9524751
595297
Total
17 2.2E+07
Standard
Lower
Coefficients
t Stat
P-value
Error
95%
Intercept
Price (cents)
7203.8528 898.377
8.018737
5.38E-07 5299.4
-50.5917 11.1364
-4.5429
0.0003
-74.2

Transcribed Image Text:ALL MIGHT BE WELL,
IF THIS WERE
ANOTHER PLACE
AT ANOTHER TIME,
SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Squa
Standard Error
Observations
0.9188
0.8444
0.8235
475.8717
AND
I WERE
ANOTHER
PERSON.
18
ANOVA
Significance
df
SS
MS
F
2 1.8E+07
9206812
40.6565 8.771-07
Regression
Residual
15 3396808 226453.9
Total
17 2.2E+07
Lower
Standard
t Stat
P-value
Coefficients
95%
Error
10.87698
-7.85514
1.6E-08 5073.5
-68.95
6309.9944 580.124
Intercept
Price (cents)
-54.2335
6.9042
1.1E-06
Promotional Expens
2.9134 0.56006
5.201966
0.0001 1.7197
SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Squa
0.4512
0.2036
0.1538
Standard Error
Observations
1041.9254
18
ANOVA
Significance
df
SS
MS
1 4440695
4440695
4.0905 0.0602
Regression
Residual
16 1.7E+07
1085609
Total
17 2.2E+07
Standard
Lower
Coefficients
t Stat
P-value
95%
Error
2206.4669 552.354 3.994661
2.4673 1.21995 2.022501
0.001 1035.5
Intercept
Promotional Expens
0.0602 -0.119
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