Read the following description of a data set.A botanist at a university is studying oak trees and the acorns they produce. He collected several acorns from the same tree and measured them.For each acorn, he recorded its volume (in cubic centimeters), x, and its weight (in grams), y.The least squares regression line of this data set is:y=2.438x−2.933Complete the following sentence:For each additional cubic centimeter of acorn volume, the least squares regression line predicts that it would weigh __ grams more.
Q. Read the following description of a data set.A botanist at a university is studying oak trees and the acorns they produce. He collected several acorns from the same tree and measured them.For each acorn, he recorded its volume (in cubic centimeters), x, and its weight (in grams), y.The least squares regression line of this data set is:y=2.438x−2.933Complete the following sentence:For each additional cubic centimeter of acorn volume, the least squares regression line predicts that it would weigh __ grams more.
Analyze equation: Analyze the given regression equation y=2.438x−2.933. Here, the coefficient of x, which is 2.438, represents the slope of the line.
Interpret slope: Interpret the slope: The slope of 2.438 means that for each one cubic centimeter increase in the volume of an acorn, the weight of the acorn increases by 2.438 grams.