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A customer's stock value seems to be rising exponentially. The equation for the linearized regression line that models this situation is log(y) = 0 30x +0 296, where x represents number of weeks. Which of the following is the best approximation of the number of weeks that will pass before the value of the stock reaches $200?

A. 9.3
B. 12.1
C. 6.7
D. 4.8​

1 Answer

5 votes

Given:

The equation for the linearized regression line is:


\log y=0.30x+0.296

where x represents number of weeks and y be the customer's stock.

To find:

The number of weeks that will pass before the value of the stock reaches $200.

Solution:

We have,


\log y=0.30x+0.296

Substituting y=200, we get


\log (200)=0.30x+0.296


2.301=0.30x+0.296


2.301-0.296=0.30x


2.005=0.30x

Divide both sides by 0.30.


(2.005)/(0.30)=x


6.6833333=x


x\approx 6.7

Therefore, the correct option is C.

User Justin Holzer
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