Question: Problem 2 : Analyzing the Relationship Between Employee Satisfaction and Productivity A company wants to assess how employee satisfaction affects their productivity. They have collected

Problem 2: Analyzing the Relationship Between Employee Satisfaction and
Productivity
A company wants to assess how employee satisfaction affects their productivity. They have
collected data from 30 departments and measured both employee satisfaction scores and
productivity (measured as output per hour worked). They want to use linear regression to
understand whether higher employee satisfaction correlates with increased productivity.
Questions:
1. Fit a linear regression model to predict productivity based on employee satisfaction.
What is the regression equation?
2. Interpret the slope of the regression line in the context of the business. What does it tell
you about the relationship between satisfaction and productivity?
3. Interpret the intercept of the regression line. What does it mean in the context of this
analysis?
4. Are the independent variables significant at the 5% level of significance?
5. Predict the productivity of a department where the satisfaction score is 92.
6. Assess the strength of the relationship between employee satisfaction and productivity.
What metric would you use, and what does it tell you?
\begin{tabular}{|c|c|c|}
\hline Department & Satisfaction Score (0-100) & \begin{tabular}{l}
Productivity \\
(Output per Hour)
\end{tabular}\\
\hline 1 & 78 & 16\\
\hline 2 & 88 & 15\\
\hline 3 & 74 & 15\\
\hline 4 & 81 & 17\\
\hline 5 & 91 & 14\\
\hline 6 & 96 & 19\\
\hline 7 & 65 & 9\\
\hline 8 & 75 & 14\\
\hline 9 & 90 & 17\\
\hline 10 & 82 & 18\\
\hline 11 & 92 & 16\\
\hline 12 & 67 & 13\\
\hline 13 & 93 & 14\\
\hline 14 & 90 & 19\\
\hline 15 & 70 & 17\\
\hline 16 & 83 & 20\\
\hline 17 & 80 & 13\\
\hline 18 & 85 & 19\\
\hline 19 & 87 & 17\\
\hline 20 & 89 & 15\\
\hline 21 & 97 & 20\\
\hline 22 & 100 & 22\\
\hline 23 & 94 & 20\\
\hline 24 & 99 & 16\\
\hline 25 & 98 & 22\\
\hline 26 & 84 & 16\\
\hline 27 & 95 & 16\\
\hline 28 & 76 & 15\\
\hline 29 & 86 & 17\\
\hline 30 & 72 & 14\\
\hline
\end{tabular}
Problem 2 : Analyzing the Relationship Between

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