MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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Step 1 of 3 : 
Write the estimated regression equation using the least squares estimates for b0

and b1. Round to four decimal places, if necessary.

 

Regression Statistics
Multiple R
0.935409572
R Square
0.874991067
Adjusted R Square
0.865374995
Standard Error
57.78795393
Observations
15
ANOVA
df
SS
MS
F
Regression
1
303,864.914286
303,864.914286
90.99256792
Residual
13
43,412.819048
3339.447619
Total
14
347,277.733333
Coefficients
Standard Error
t Stat
P-value
Intercept
443.92380952
31.39955659
14.13790059
2.85887E-09
Month
32.94285714
3.45349079
9.539002459
3.10231E-07
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Transcribed Image Text:Regression Statistics Multiple R 0.935409572 R Square 0.874991067 Adjusted R Square 0.865374995 Standard Error 57.78795393 Observations 15 ANOVA df SS MS F Regression 1 303,864.914286 303,864.914286 90.99256792 Residual 13 43,412.819048 3339.447619 Total 14 347,277.733333 Coefficients Standard Error t Stat P-value Intercept 443.92380952 31.39955659 14.13790059 2.85887E-09 Month 32.94285714 3.45349079 9.539002459 3.10231E-07
Consider the following monthly revenue data for an up-and-coming technology company.
Sales Data
Month
Revenue (Thousands of Dollars)
Month
Revenue (Thousands of Dollars)
1
325
9.
797
2
547
10
819
3
539
11
831
4
580
12
848
5
640
13
860
6.
699
14
863
7
697
15
859
8
708
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Transcribed Image Text:Consider the following monthly revenue data for an up-and-coming technology company. Sales Data Month Revenue (Thousands of Dollars) Month Revenue (Thousands of Dollars) 1 325 9. 797 2 547 10 819 3 539 11 831 4 580 12 848 5 640 13 860 6. 699 14 863 7 697 15 859 8 708
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