Assume that Daniel Corp. is trying to better understand whether costs spent on advertising, quality control and employee training have a significant relationship with revenues earned during a given period. The managers of Daniel Corp. are provided the following regression output: SUMMARY OUTPUT \begin{tabular}{lr|} \hline \multicolumn{2}{|c|}{ Regression Statistics } \\ \hline Multiple R & 0.813574061 \\ RSquare & 0.661902753 \\ Adjusted R Square & 0.459044405 \\ \hline \end{tabular} Based on the output, which independent variable is a significant predictor of the dependent variable? Advertising Cost Quality Control Intercept Employee Training Assume that Daniel Corp. is trying to better understand whether costs spent on advertising, quality control and employee training have a significant relationship with revenues earned during a given period. The managers of Daniel Corp. are provided the following regression output: SUMMARY OUTPUT \begin{tabular}{lr|} \hline \multicolumn{2}{c}{ Regression Statistics } \\ \hline Multiple R & 0.813574061 \\ R Square & 0.661902753 \\ Adjusted R Square & 0.459044405 \\ Standard Error & 159.3931455 \\ Observations & 9 \\ \hline \end{tabular} ANOVA Which of the following correctly interprets the coefficient values in the output? For every $1 increase in sales revenue, quality control cost decreases by $0.14. For every $1 increase in employee training, sales revenue increases by $0.44. For every $1 increase in advertising cost, sales revenue increases by $0.39. For every $1 increase in sales revenue, employee training increases by $0.44. Assume that Daniel Corp. is trying to better understand whether costs spent on advertising, quality control and employee training have a significant relationship with revenues earmed during a given period. The managers of Daniel Corp. are provided the following regression output: What percent of the variance in the dependent variable remains unexplained by the model? 345 458 668 819 Assume that Daniel Corp. is trying to better understand whether costs spent on advertising, quality control and employee training have a significant relationship with revenues earned during a given period. The managers of Daniel Corp. are provided the following regression output: SUMMARY OUTPUT \begin{tabular}{lr|} \hline \multicolumn{2}{|c|}{ Regression Statistics } \\ \hline Multiple R & 0.813574061 \\ RSquare & 0.661902753 \\ Adjusted R Square & 0.459044405 \\ \hline \end{tabular} Based on the output, which independent variable is a significant predictor of the dependent variable? Advertising Cost Quality Control Intercept Employee Training Assume that Daniel Corp. is trying to better understand whether costs spent on advertising, quality control and employee training have a significant relationship with revenues earned during a given period. The managers of Daniel Corp. are provided the following regression output: SUMMARY OUTPUT \begin{tabular}{lr|} \hline \multicolumn{2}{c}{ Regression Statistics } \\ \hline Multiple R & 0.813574061 \\ R Square & 0.661902753 \\ Adjusted R Square & 0.459044405 \\ Standard Error & 159.3931455 \\ Observations & 9 \\ \hline \end{tabular} ANOVA Which of the following correctly interprets the coefficient values in the output? For every $1 increase in sales revenue, quality control cost decreases by $0.14. For every $1 increase in employee training, sales revenue increases by $0.44. For every $1 increase in advertising cost, sales revenue increases by $0.39. For every $1 increase in sales revenue, employee training increases by $0.44. Assume that Daniel Corp. is trying to better understand whether costs spent on advertising, quality control and employee training have a significant relationship with revenues earmed during a given period. The managers of Daniel Corp. are provided the following regression output: What percent of the variance in the dependent variable remains unexplained by the model? 345 458 668 819