Step 1 of 3: Write the estimated regression equation using the least squares estimates for bo and b₁. Round to four decimal places, If necessar Answer Revenue= (Month)

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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100%
Consider the following monthly revenue data for an up-and-coming cyber security company.
Month
1
2
3
4
5
6
7
8
9
Answer
The summary output from a regression analysis of the data is also provided.
Revenue (Thousands of Dollars)
315
535
533
574
628
659
697
709
789
Sales Data
Multiple R
R Square
Adjusted R Square
Standard Error
Revenue=
Month Revenue (Thousands of Dollars)
10
Observations
12
13
14
15
16
Regression Statistics
17
18
0.933348483
0.871139392
0.863085604
60.36074188
18
ANOVA
df
SS
MS
1
Regression
394,091.071207 394,091.071207
Residual 16 58,294.706570
Total
3643.419161
17 452,385.777778
Coefficients Standard Error
t Stat
Intercept 460.94771242
29.68313147
1552894488
Month 28.52012384 2.742253998 10.400248796
819
827
843
855
849
858
870
901
913
F
108.16517503
Step 1 of 3: Write the estimated regression equation using the least squares estimates for bo and b₁. Round to four decimal places, If necessary.
P-value
4.53893E-11
1.58675E-08
(Month)
里 Ta
Transcribed Image Text:Consider the following monthly revenue data for an up-and-coming cyber security company. Month 1 2 3 4 5 6 7 8 9 Answer The summary output from a regression analysis of the data is also provided. Revenue (Thousands of Dollars) 315 535 533 574 628 659 697 709 789 Sales Data Multiple R R Square Adjusted R Square Standard Error Revenue= Month Revenue (Thousands of Dollars) 10 Observations 12 13 14 15 16 Regression Statistics 17 18 0.933348483 0.871139392 0.863085604 60.36074188 18 ANOVA df SS MS 1 Regression 394,091.071207 394,091.071207 Residual 16 58,294.706570 Total 3643.419161 17 452,385.777778 Coefficients Standard Error t Stat Intercept 460.94771242 29.68313147 1552894488 Month 28.52012384 2.742253998 10.400248796 819 827 843 855 849 858 870 901 913 F 108.16517503 Step 1 of 3: Write the estimated regression equation using the least squares estimates for bo and b₁. Round to four decimal places, If necessary. P-value 4.53893E-11 1.58675E-08 (Month) 里 Ta
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