A linear regression model for the revenue data for a company is R = 25.7t + 207 where R is total annual revenue and t is time since 1/31/02 in years. 12 months ending 1/31/02 ending 1/31/03 ending 1/31/04 259 |12 months endingl 12 months ending 1/31/06 316 Billions of 12 months 12 months Dollars Revenue Gross Profit 1/31/05 276 208 235 43 52 59 65 73 (A) Draw a scatter plot of the data and a graph of the model on the same axes. O A. C. OD. 500- 500- 500- Q 500- 0+ 0+ 10 0- of 0- 10 Time since 1/31/02 (years) 10 Time since 1/31/02 (years) 10 Time since 1/31/02 (years) Time since 1/31/02 (years) (B) Predict the company's annual revenue for the period ending 1/31/10. Rx billion dollars
A linear regression model for the revenue data for a company is R = 25.7t + 207 where R is total annual revenue and t is time since 1/31/02 in years. 12 months ending 1/31/02 ending 1/31/03 ending 1/31/04 259 |12 months endingl 12 months ending 1/31/06 316 Billions of 12 months 12 months Dollars Revenue Gross Profit 1/31/05 276 208 235 43 52 59 65 73 (A) Draw a scatter plot of the data and a graph of the model on the same axes. O A. C. OD. 500- 500- 500- Q 500- 0+ 0+ 10 0- of 0- 10 Time since 1/31/02 (years) 10 Time since 1/31/02 (years) 10 Time since 1/31/02 (years) Time since 1/31/02 (years) (B) Predict the company's annual revenue for the period ending 1/31/10. Rx billion dollars
Algebra and Trigonometry (6th Edition)
6th Edition
ISBN:9780134463216
Author:Robert F. Blitzer
Publisher:Robert F. Blitzer
ChapterP: Prerequisites: Fundamental Concepts Of Algebra
Section: Chapter Questions
Problem 1MCCP: In Exercises 1-25, simplify the given expression or perform the indicated operation (and simplify,...
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Question
(B) Predict the company's annual revenue for the period ending 1/31/10.
Screenshot attached below
![A linear regression model for the revenue data for a company is R= 25.7t+ 207 where R is total annual revenue and t is time since 1/31/02 in years.
Billions of
12 months
12 months
12 months
12 months ending 12 months ending
Dollars
ending 1/31/02 ending 1/31/03 ending 1/31/04
235
1/31/05
1/31/06
Revenue
208
259
276
316
Gross Profit
43
52
59
65
73
(A) Draw a scatter plot of the data and a graph of the model on the same axes.
OA.
В.
OC.
OD.
500-
500-
5004
500-1
0+
0-
0+
0-
10
Time since 1/31/02 (years)
10
Time since 1/31/02 (years)
10
Time since 1/31/02 (years)
10
Time since 1/31/02 (years)
(B) Predict the company's annual revenue for the period ending 1/31/10.
R billion dollars
(Round to the nearest billion dollars as needed.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd33c94b6-fefb-4787-95f5-23e9c689604a%2F17db963b-9863-4e1e-9d58-86ff31ccf09e%2Fyxgz6se_processed.png&w=3840&q=75)
Transcribed Image Text:A linear regression model for the revenue data for a company is R= 25.7t+ 207 where R is total annual revenue and t is time since 1/31/02 in years.
Billions of
12 months
12 months
12 months
12 months ending 12 months ending
Dollars
ending 1/31/02 ending 1/31/03 ending 1/31/04
235
1/31/05
1/31/06
Revenue
208
259
276
316
Gross Profit
43
52
59
65
73
(A) Draw a scatter plot of the data and a graph of the model on the same axes.
OA.
В.
OC.
OD.
500-
500-
5004
500-1
0+
0-
0+
0-
10
Time since 1/31/02 (years)
10
Time since 1/31/02 (years)
10
Time since 1/31/02 (years)
10
Time since 1/31/02 (years)
(B) Predict the company's annual revenue for the period ending 1/31/10.
R billion dollars
(Round to the nearest billion dollars as needed.)
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