a. Q1: What is the most influential independent variable for satisfaction_level? Explain and provide proof by citing numbers from the regression result.

b. Q2: Is the regression equation valid? Explain and provide your proof by citing numbers from the regression result. (Hint: Check the ANOVA result produced by Regression)

c. Q3: Does the regression line fit the data well? Please explain and provide your proof by citing numbers from the regression result.

d. Q4: What is the implication if a regression line fits (or doesnt fit) the data well?

SUMMARY OUTPUT \begin{tabular}{l|r} \hline \multicolumn{2}{|c}{ Regression Statistics } \\ \hline Multiple R & 0.251903036 \\ \hline R Square & 0.063455139 \\ \hline Adjusted R Square & 0.062215914 \\ \hline Standard Error & 0.240739005 \\ \hline Observations & 3028 \\ \hline \end{tabular} ANOVA \begin{tabular}{l|r|c|c|c|c} \hline & df & SS & MS & F & ignificance F \\ \hline Regression & 4 & 11.87050749 & 2.967627 & 51.20547192 & 8.95E42 \\ \hline Residual & 3023 & 175.1987767 & 0.057955 & & \\ \hline Total & 3027 & 187.0692841 & & & \\ \hline \end{tabular}