Write the best-fit linear model for the data.
-The paired data below consist of the costs of advertising (in thousands of dollars) and the number of products sold (in thousands). Find a linear function that approximates the number of products sold as a function of the cost of advertising. $\begin{array}{c|rrrrrrrr}
\text { Cost } & 9 & 2 & 3 & 4 & 2 & 5 & 9 & 10 \
\hline \text { Number } & 85 & 52 & 55 & 68 & 67 & 86 & 83 & 73
\end{array}$

A) $y = - 26.4 - 1.42 x$
B) $y = 26.4 + 1.42 x$
C) $y = 55.8 - 2.79 x$
D) $y = 55.8 + 2.79 x$

Question

Write the best-fit linear model for the data.
-The paired data below consist of the costs of advertising (in thousands of dollars) and the number of products sold (in thousands). Find a linear function that approximates the number of products sold as a function of the cost of advertising. $\begin{array}{c|rrrrrrrr}
\text { Cost } & 9 & 2 & 3 & 4 & 2 & 5 & 9 & 10 \
\hline \text { Number } & 85 & 52 & 55 & 68 & 67 & 86 & 83 & 73
\end{array}$

A) $y = - 26.4 - 1.42 x$
B) $y = 26.4 + 1.42 x$
C) $y = 55.8 - 2.79 x$
D) $y = 55.8 + 2.79 x$

Quizplus · Accepted Answer

The best-fit linear model is found using linear regression, which calculates the line that minimizes the sum of squared differences between observed and predicted values. The correct model here is $y = 55.8 + 2.79 x$, indicating a positive relationship between advertising cost and products sold.

Write the Best-Fit Linear Model for the Data A) y=−26.4−1.42xy = - 26.4 - 1.42 xy=−26.4−1.42x

Write the Best-Fit Linear Model for the Data A) $y = - 26.4 - 1.42 x$