Question
Suppose the linear regression line y = 2.1x + 130 predicts sales based on the money spent on advertising.
If x represents the dollars spent in advertising, and y represents the company sales in dollars, about how much can the company expect in sales if it spends $250 in advertising?
The company can expect
Question Blank 1 of 1
in sales if it spends $150 in advertising.
If x represents the dollars spent in advertising, and y represents the company sales in dollars, about how much can the company expect in sales if it spends $250 in advertising?
The company can expect
Question Blank 1 of 1
in sales if it spends $150 in advertising.
Answers
GPT-4o mini
To find the expected sales when the company spends $250 in advertising, we can substitute \( x = 250 \) into the regression equation \( y = 2.1x + 130 \).
So we compute:
\[
y = 2.1(250) + 130
\]
Calculating step-by-step:
1. Calculate \( 2.1 \times 250 \):
\[
2.1 \times 250 = 525
\]
2. Add 130 to the result:
\[
525 + 130 = 655
\]
Thus, the company can expect **$655** in sales if it spends $250 in advertising.
So we compute:
\[
y = 2.1(250) + 130
\]
Calculating step-by-step:
1. Calculate \( 2.1 \times 250 \):
\[
2.1 \times 250 = 525
\]
2. Add 130 to the result:
\[
525 + 130 = 655
\]
Thus, the company can expect **$655** in sales if it spends $250 in advertising.