Question

A linear regression model for the revenue data for a company is R = 26.6t + 205 where R is total annual revenue and t is time since 1/31/02 in years. Billions of Dollars | 12 months ending 1/31/02 | 12 months ending 1/31/03 | 12 months ending 1/31/04 | 12 months ending 1/31/05 | 12 months ending 1/31/06 Revenue | 204 | 235 | 256 | 283 | 313 Gross Profit | 45 | 52 | 59 | 63 | 71 (A) Draw a scatter plot of the data and a graph of the model on the same axes. (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.)

          A linear regression model for the revenue data for a company is R = 26.6t + 205 where R is total annual revenue and t is time since 1/31/02 in years.

Billions of Dollars | 12 months ending 1/31/02 | 12 months ending 1/31/03 | 12 months ending 1/31/04 | 12 months ending 1/31/05 | 12 months ending 1/31/06
Revenue | 204 | 235 | 256 | 283 | 313
Gross Profit | 45 | 52 | 59 | 63 | 71

(A) Draw a scatter plot of the data and a graph of the model on the same axes.

(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.)

A linear regression model for the revenue data for a company is R = 26.6t + 205 where R is total annual revenue and t is time since 1/31/02 in years.

Billions of Dollars | 12 months ending 1/31/02 | 12 months ending 1/31/03 | 12 months ending 1/31/04 | 12 months ending 1/31/05 | 12 months ending 1/31/06
Revenue | 204 | 235 | 256 | 283 | 313
Gross Profit | 45 | 52 | 59 | 63 | 71

(A) Draw a scatter plot of the data and a graph of the model on the same axes.

(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.)

Added by Taylor B.

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