SOLUTION: A regression analysis between sales (Y) and advertising (X) (both in dollars) resulted in the following equation:
= 100 + 2000X
The above equation implies that an
Answer
A.
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-> SOLUTION: A regression analysis between sales (Y) and advertising (X) (both in dollars) resulted in the following equation:
= 100 + 2000X
The above equation implies that an
Answer
A.
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Question 630638: A regression analysis between sales (Y) and advertising (X) (both in dollars) resulted in the following equation:
= 100 + 2000X
The above equation implies that an
Answer
A. increase of $1 in advertising is correlated with an increase of $2,000 in sales.
B. increase of $1 in advertising is correlated with an increase of $2 in sales.
C. increase of $1 in advertising is correlated with an increase of $100 in sales.
D. increase of $1 in advertising is correlated with an increase of $2100 in sales.
You can put this solution on YOUR website! A regression analysis between sales (Y) and advertising (X) (both in dollars) resulted in the following equation:
= 100 + 2000X
The above equation implies that an
Answer
A. increase of $1 in advertising is correlated with an increase of $2,000 in sales.
B. increase of $1 in advertising is correlated with an increase of $2 in sales.
C. increase of $1 in advertising is correlated with an increase of $100 in sales.
D. increase of $1 in advertising is correlated with an increase of $2100 in sales.
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Ans: A
Comment: slope is always the amount y changes (sales) when x (ads)
increases by one.
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Cheers,
Stan H.
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