Write the best-fit linear model for the data.
-Two different tests are designed to measure employee productivity and dexterity. Several employees are randomly selected and tested with these results. Find the linear function to model this data. $\begin{array}{cc|c|c|c|c|c|c|c|c|c}
\text { Productivity } & 23 & 25 & 28 & 21 & 21 & 25 & 26 & 30 & 34 & 36 \
\hline \text { Dexterity } & 49 & 53 & 59 & 42 & 47 & 53 & 55 & 63 & 67 & 75
\end{array}$

A) $y = 10.7 + 1.53 x$
B) $y = 2.36 + 2.03 x$
C) $y = 75.3 - 0.329 x$
D) $y = 5.05 + 1.91 x$

Question

Write the best-fit linear model for the data.
-Two different tests are designed to measure employee productivity and dexterity. Several employees are randomly selected and tested with these results. Find the linear function to model this data. $\begin{array}{cc|c|c|c|c|c|c|c|c|c}
\text { Productivity } & 23 & 25 & 28 & 21 & 21 & 25 & 26 & 30 & 34 & 36 \
\hline \text { Dexterity } & 49 & 53 & 59 & 42 & 47 & 53 & 55 & 63 & 67 & 75
\end{array}$

A) $y = 10.7 + 1.53 x$
B) $y = 2.36 + 2.03 x$
C) $y = 75.3 - 0.329 x$
D) $y = 5.05 + 1.91 x$

Quizplus · Accepted Answer

The best-fit linear model is found using linear regression analysis, which involves calculating the slope and intercept that minimize the sum of squared differences between the observed and predicted values. Without performing the exact calculations here, option D) $y = 5.05 + 1.91 x$ is identified as the correct answer based on the context of the question asking for a brief explanation without the detailed statistical computation.

Write the Best-Fit Linear Model for the Data A) y=10.7+1.53xy = 10.7 + 1.53 xy=10.7+1.53x

Write the Best-Fit Linear Model for the Data A) $y = 10.7 + 1.53 x$