12 The distributor of cosmetics has sales representatives in various metropolitan areas all over the country. The distributor has collected data over the past year looking for a relationship between the number of years of experience a sales representative has in cosmetic sales (X), and the monthly sales volume (Y, in dollars) for the sales representative in a given month. The data was gathered from representatives with between 0-20 years experience. A scatterplot of the data showed a positive linear association, and a simple regression model was determined. Results are given by Estimated average monthly sales volume 50,000+1,600 years of experience. Correlation -0.78; R2=0.6084; All assumptions are met. Which interpretation of these results is appropriate? O None are appropriate interpretations O The correlation implies that sales representatives with more years of experience will always achieve higher monthly sales volumes than those representatives with fewer years of experience O One additional year of sales experience would be predicted to increase the average monthly sales volume by $51,600. O Using the regression equation to predict sales for a sales representative with 25 years of experience would be an extrapolation. O The fitted line accounts for 78% of the variation in monthly sales volumes found in the data