Question

grape growers in france think they will have a massive crop this year and want to know how this will influence demand for grape juice. they compared how many grapes were produced (in millions of metric tons), x, and the amount of french grape juice that was sold in previous years (in billions of liters), y. grape production grape juice sold 3.61 5.26 3.67 5.37 4.71 5.27 5.37 5.77 5.62 5.68 5.64 5.58 5.66 5.72 5.91 5.83 the correct least squares regression line for the data set is: y = 0.213x + 4.492 use it to complete the following sentence: the least squares regression line predicts the amount of french grape juice sold would increase by blank billion liters if the amount of grapes produced increased by one million metric tons.

Explanation:

Step1: Identify the slope of regression line

The regression line is $y = 0.213x + 4.492$. In a linear regression equation $y=mx + b$, $m$ is the slope.

Step2: Understand the meaning of slope

The slope $m$ represents the change in $y$ (amount of grape - juice sold in billion liters) for a unit change in $x$ (amount of grapes produced in million metric tons).

Answer:

0.213