What percent of the variation in revenue is explained by the linear time trend model
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
100%
Step 3 of 3 :
What percent of the variation in revenue is explained by the linear time trend model? Round to two decimal places, if necessary.
NOTE:
Step 1
The regression equation for relationship between company's revenue and month is given by
Revenue = 428.7692 + 35.7451Month
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Step 2
The predicted company's revenue for 15th month can be calculated as
Revenue = 428.7692 + (35.7451 × 15) = 964.9457
So the answer is 964.9457

Transcribed Image Text:Month
Revenue (Thousands of Dollars)
Month
Revenue (Thousands of Dollars)
1
321
8.
710
2
542
9.
799
540
10
821
4
581
11
833
641
12
850
6.
700
13
862
7
698
14
858
nmary output from a regression analysis of the data is also provided.
Regression Statistics
Multiple R
0.941890566
R Square
0.887157839
Adjusted R Square
0.877754326
Standard Error
55.50745256
Observations
14
ANOVA
3.

Transcribed Image Text:ANOVA
df
SS
MS
F
Regression
1
290,678.786813 290,678.786813
94.34323112
Residual
12
36,972.927473
3081.077289
Total
13
327,651.714286
Coefficients
Standard Error
t Stat
P-value
Intercept
428.76923077
31.3349928
13.68339969
1.10591E-08
Month
35.74505495
3.68010827
9.71304438
4.90081E-07
Step 2 of 3: Using the model from the previous step, predict the company's revenue for the 15th month. Round to four decimal places, if necessary.
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