Coefficients Standard Error t Stat P-value Intercept 396.3787879396.3787879 30.3252606430.32526064 13.0709111713.07091117 1.30250E−071.30250E−07 Month 41.7237762241.72377622 4.1203915414.120391541 10.1261678210.12616782 1.41682E−061.41682E−06Copy Data      Step 1 of 3:  What is the mean square error for the linear time trend model? Round your answer to three decimal places   Step 2: Using the linear time trend model, predict the company's sales for the 13th month. Round your answer to the nearest thousand dollars.   Step 3: What percent of the variation in sales is explained by the linear time trend model? Round your answer to two decimal places.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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  Coefficients Standard Error t Stat P-value
Intercept 396.3787879396.3787879 30.3252606430.32526064 13.0709111713.07091117 1.30250E−071.30250E−07
Month 41.7237762241.72377622 4.1203915414.120391541 10.1261678210.12616782 1.41682E−061.41682E−06
Copy Data   
 
Step 1 of 3: 
What is the mean square error for the linear time trend model? Round your answer to three decimal places
 
Step 2: Using the linear time trend model, predict the company's sales for the 13th month. Round your answer to the nearest thousand dollars.
 
Step 3:
What percent of the variation in sales is explained by the linear time trend model? Round your answer to two decimal places.
 
 
 
Using statistical software, the following summary output tables were produced.
SUMMARY OUTPUT
Copy Data
Regression
Residual
Total
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
0.9545376536
0.9111421321
0.9022563453
49.27271641
12
ANOVA
df
SS
MS
1 248944.9108 248944.9108
10 24278.00583 2427.800583
11 273222.9167
F
102.5392747
Transcribed Image Text:Using statistical software, the following summary output tables were produced. SUMMARY OUTPUT Copy Data Regression Residual Total Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.9545376536 0.9111421321 0.9022563453 49.27271641 12 ANOVA df SS MS 1 248944.9108 248944.9108 10 24278.00583 2427.800583 11 273222.9167 F 102.5392747
Consider the following monthly sales data for an up-and-coming technology company.
Month
1
2
3
4
5
LO
6
7
8
9
10
11
12
Sales Data
Sales (Thousands of Dollars)
319
537
538
572
631
696
694
715
796
824
838
851
Transcribed Image Text:Consider the following monthly sales data for an up-and-coming technology company. Month 1 2 3 4 5 LO 6 7 8 9 10 11 12 Sales Data Sales (Thousands of Dollars) 319 537 538 572 631 696 694 715 796 824 838 851
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