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 Regression Statistics Multiple R 0.813574061 RSquare 0662902753 Adjusted RSquare 0459044405 Standard Emor 158.335455 Observations ANOVA MS plane! Regression Residual 12 13 53 157229 Total Concent $ the Intercept SEL JUATHONS Advertising Cast Quality Control Employee Training 0.35 0.1287 28OUNTS 15 44 445 L 434 43 044 0405102) Which of the following correctly interprets the coefficient values in the output? O For every $1 increase in sales revenue employee training increases by $0.44 O For every $1 increase in advertising cost sales revenue increases by $0.39. O For every $1 increase in sales revenue quality control and MacBook Air 80000