A marketing consultant, Sofia, has been studying the effect of increasing advertising spending on product sales. Sofia conducts several experiments, each time spending less than $1,000 in advertising. When she analyzed the relationship between x = advertising spending and y= product sales, the relationship was linear with r=0.90. Her boss is thrilled and asks her to estimate product sales for $100,000 in advertising spending. Is it appropriate for her to calculate a predicted amount of product sales with advertising spending of $100,000 ?

Yes, because the association is linear.

A

Yes, because the association is positive.

B

Yes, because the association is strong.

C

No, because the value of the correlation is not equal to 1.

D

No, because $100,000 is much greater than the values used in the experiment.