Intercept Month Coefficients Standard Error t Stat 460.94771242 29.68313147 15.52894488 28.52012384 2.742253998 10.400248796 P-value 4.53893E-11 1.58675E-08 Step 2 of 3: Using the model from the previous step, predict the company's revenue for the 19th month. Round to four decimal places, if nece
Intercept Month Coefficients Standard Error t Stat 460.94771242 29.68313147 15.52894488 28.52012384 2.742253998 10.400248796 P-value 4.53893E-11 1.58675E-08 Step 2 of 3: Using the model from the previous step, predict the company's revenue for the 19th month. Round to four decimal places, if nece
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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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
Sales Data
Month
Revenue (Thousands of Dollars)
315
10
535
11
533
12
574
13
628
14
659
15
697
16
709
17
789
18
The summary output from a regression analysis of the data is also provided.
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
Revenue (Thousands of Dollars)
819
827
843
855
849
858
870
901
913
0.933348483
0.871139392
0.863085604
60.36074188
18
ANOVA
df
SS
MS
Regression 1 394,091.071207 394,091.071207
Residual 16 58,294.706570 3643.419161
Total 17 452,385.777778
F
108.16517503
t Stat
P-value
Coefficients Standard Error
Intercept 460.94771242 29.68313147 15.52894488 4.53893E-11
Month 28.52012384 2.742253998 10.400248796 1.58675E-08
Step 2 of 3: Using the model from the previous step, predict the company's revenue for the 19th month. Round to four decimal places, if necessary.
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