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12 months 12 months e months ing 1/31/02 12 months 12 months ending 1/31/03 237 ending ending 1/31/05 ending 1/31/06 1/31/04 204 254 283 301 41 53 57 65 71

12 months 12 months e months ing 1/31/02 12 months 12 months ending 1/31/03 237 ending ending 1/31/05 ending 1/31/06 1/31/04 204 254 283 301 41 53 57 65 71

Advanced Engineering Mathematics
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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A linear regression model for the revenue data for a company is R= 24.0t + 208 where R is total annual revenue and t is time since 1/31/02 in years. 12 months 12 months Billions of 12 months 12 months 12 months ending ending 1/31/02 ending 1/31/04 ending 1/31/05 ending 1/31/06 Dollars 1/31/03 Revenue 204 237 254 283 301 Gross Profit 41 53 57 65 71 ... (A) Draw a scatter plot of the data and a graph of the model on the same axes. A. В. Oc. O D. 500+ 500- 500– 500- 0- 0- 0- 10 Time since 1/31/02 (years) 10 10 Time since 1/31/02 (years) 10 Time since 1/31/02 (years) Time since 1/31/02 (years)
Transcribed Image Text:A linear regression model for the revenue data for a company is R= 24.0t + 208 where R is total annual revenue and t is time since 1/31/02 in years. 12 months 12 months Billions of 12 months 12 months 12 months ending ending 1/31/02 ending 1/31/04 ending 1/31/05 ending 1/31/06 Dollars 1/31/03 Revenue 204 237 254 283 301 Gross Profit 41 53 57 65 71 ... (A) Draw a scatter plot of the data and a graph of the model on the same axes. A. В. Oc. O D. 500+ 500- 500– 500- 0- 0- 0- 10 Time since 1/31/02 (years) 10 10 Time since 1/31/02 (years) 10 Time since 1/31/02 (years) Time since 1/31/02 (years)
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