A regression analysis between sales (in $1000) and advertising (in $) yielded the least squares line $\hat { y }$ = 80 000 + 5x. This implies that an:
A)increase of $1 in advertising is expected to result in an increase of $5 in sales.
B)increase $5 in advertising is expected to result in an increase of $5000 in sales.
C)increase of $1 in advertising is expected to result in an increase of $80 005 in sales.
D)increase of $1 in advertising is expected to result in an increase of $5000 in sales.

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The Answer of A regression analysis between sales (in $1000) and advertising (in $) yielded the least squares line $\hat { y }$ = 80 000 + 5x. This implies that an:
A)increase of $1 in advertising is expected to result in an increase of $5 in sales.
B)increase $5 in advertising is expected to result in an increase of $5000 in sales.
C)increase of $1 in advertising is expected to result in an increase of $80 005 in sales.
D)increase of $1 in advertising is expected to result in an increase of $5000 in sales.

A Regression Analysis Between Sales (In $1000) and Advertising (In y^\hat { y }y^​

A Regression Analysis Between Sales (In $1000) and Advertising (In $\hat { y }$