A distributor of cosmetics has sales representatives in various metropolitan areas all over the country. They have collected data over the past year looking for a relationship between the number of months of Experience a sales representative has in cosmetic sales (X), and the monthly sales volume (Y, in thousands of dollars) for the sales representative in a given month. The data was gathered from representatives with 0 - 60 months experience. A scatterplot of the data showed a positive linear relationship, and a simple regression model was determined. The results are given by:.

The results are given by:.

the equation, y = ax+b.

where a = the slope of the line and b is the intercept or the value of Y when X = 0.

Step-by-step explanation:

The simple linear regression is a model for estimating the relationship that exists between an independent variable and a dependent variable.  The model uses a straight line for two quantitative variables.  With a scatter graph, the line of best fit is given as the equation, y = bX + a.  This equation determines the values of b and a for a dataset of two variables.  It can also be used to estimate the value of Y for a given value of X.

i think there was a typo. you wrote pat brings 3 quarts of ice-cream to the party. each serving of ice-cream is 1 6 quart. how many total servings of ice-cream does pat bring to the party? i think the bold is supposed to be 1/6. so 1 quart of ice cream = 6 servings. 6 * 3 = 18.

step-by-step explanation: