A regression analysis between sales (in $1000) and advertising (in $) resulted in the following least squares line: Y= 32 + 8X. This implies that an increase of $1 in advertising is expected to result in an increase of $40 in sales.( why? could you help explain to me thank you so much)

Step-by-step explanation: This is a question under linear regression analysis.

The question is trying to relate sales (in $1000) and and advertising.

Both sales and advertising are variables and are connected by the equation

Y = 32x + 8

Which is a linear regression equation of 2 variables.

Where x is the independent variable which represents advertising in this case and Y is the dependent variable which represents sales.

At $1 of adverts, we have $40 of sales.

We just simply put the fact that x = $1 (advertising) into the linear regression equation, we have the value of Y ( sales)

Y = 32(1) + 8

Y = 32 + 8

Y = $40.

answer 1 : option "c"

answer 2 : option "d"

answer 3 : option "b"

answer 4 : option "d"

answer 5 : option "b"

answer 6 : option "a"

answer 7 : option "c"

answer 8 : option "d"

answer 9 : option "c"

answer 10 : option "d"

answer 11 : option "c"

answer 12 option "b"

answer 13 option "c"

answer 14 option "c"

answer 15 option "d"

answer 16 option "a"

answer 17 option "b"

answer 18 option "c"

answer 19 option "a"

answer 20 option "a"

answer 21 option "c"

d