Step 1 of 3:  Write the estimated regression equation using the least squares estimates for b0�0 and b1�1. Round to four decimal places, if necessary.   Step 2 of 3:  What is the mean square error for the model shown in the output? Round to four decimal places, if necessary.   Step 3 of 3:  What is the standard error for the model shown in the output? Round to four decimal places, if necessary.

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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Step 1 of 3: 
Write the estimated regression equation using the least squares estimates for b0�0 and b1�1. Round to four decimal places, if necessary.
 
Step 2 of 3: 
What is the mean square error for the model shown in the output? Round to four decimal places, if necessary.
 
Step 3 of 3: 
What is the standard error for the model shown in the output? Round to four decimal places, if necessary.
 
 
 
<
Prev
Consider the following monthly revenue data for an up-and-coming service company.
Month
1
2
3
4
5
6
7
8
9
Sales Data
Revenue (Thousands of Dollars)
315
535
533
574
628
659
697
709
789
Month Revenue (Thousands of Dollars)
10
819
11
827
12
843
13
855
14
849
15
858
16
870
17
889
>
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Transcribed Image Text:< Prev Consider the following monthly revenue data for an up-and-coming service company. Month 1 2 3 4 5 6 7 8 9 Sales Data Revenue (Thousands of Dollars) 315 535 533 574 628 659 697 709 789 Month Revenue (Thousands of Dollars) 10 819 11 827 12 843 13 855 14 849 15 858 16 870 17 889 > Next
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
0.930985207
0.866733456
0.857849019
60.60943217
17
ANOVA
df
SS
MS
1 358,373.686275 358,373.686275
3673.503268
Regression
Residual 15 55,102.549020
Total
16 413,476.235294
F
97.55638151
Coefficients Standard Error
Intercept 453.79411765 30.7471441
Month
29.6372549
t Stat
P-value
14.75890301
2.43971E-10
3.000614017 9.877063405 5.87860E-08
Transcribed Image Text:Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.930985207 0.866733456 0.857849019 60.60943217 17 ANOVA df SS MS 1 358,373.686275 358,373.686275 3673.503268 Regression Residual 15 55,102.549020 Total 16 413,476.235294 F 97.55638151 Coefficients Standard Error Intercept 453.79411765 30.7471441 Month 29.6372549 t Stat P-value 14.75890301 2.43971E-10 3.000614017 9.877063405 5.87860E-08
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