tep 2 of 3 : Using the model from the previous step, predict the company’s revenue for the 16th month. Round to four decimal places, if necessary. NOTE: Information from step 1: Bo 443.92 + 32.94 B1
tep 2 of 3 : Using the model from the previous step, predict the company’s revenue for the 16th month. Round to four decimal places, if necessary. NOTE: Information from step 1: Bo 443.92 + 32.94 B1
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
Step 2 of 3 :
Using the model from the previous step, predict the company’s revenue for the 16th month. Round to four decimal places, if necessary.
NOTE:
Information from step 1:
Bo 443.92 + 32.94 B1
![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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc0d6d52d-2977-4acd-abac-d248674f838b%2Fe982e783-c789-4fdb-acf9-52468ee88adc%2F47mh8qd_processed.png&w=3840&q=75)
Transcribed Image Text: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
![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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc0d6d52d-2977-4acd-abac-d248674f838b%2Fe982e783-c789-4fdb-acf9-52468ee88adc%2F69egjm8_processed.png&w=3840&q=75)
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
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