To determine the expected sales based on the given linear regression equation, we follow these steps:
1. We are provided with the linear regression line equation [tex]\( y = 2.1x + 130 \)[/tex], where [tex]\( y \)[/tex] represents the company’s sales and [tex]\( x \)[/tex] represents the dollars spent on advertising.
2. To find the expected sales when the company spends \[tex]$250 on advertising, we substitute \( x = 250 \) into the equation.
3. Performing this substitution, we get:
\[
y = 2.1 \times 250 + 130
\]
4. Next, we multiply \( 2.1 \) by \( 250 \):
\[
2.1 \times 250 = 525
\]
5. Adding the result to 130:
\[
525 + 130 = 655
\]
Thus, the company can expect approximately \$[/tex]655 in sales if it spends \[tex]$250 in advertising.
Therefore, the correct answer is:
B. \$[/tex]655
