7. A regression analysis between sales (in $1000) and advertising in $) resulted in the following least squares line: Y= 50,000 + 4x. This implies that:
A. an increase of $1 in advertising is expected to result in an increase of $4 in sales.
B. an increase of $1 in advertising is expected to result in an increase of $50,000 in sales.
C. an increase of $1 in advertising is expected to result in an increase of $4,000 in sales.
D. an increase of $4 in advertising is expected to result in an increase of $4,000 in sales.
C. an increase of $1 in advertising is expected to result in an increase of $4,000 in sales.
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