Answer:
The coefficient of each independent variable represents the degree of change in y for each additional unit in that variable. ... In a simple regression with one independent variable, that coefficient is the slope of the line of best fit.The slope and y-intercept values indicate characteristics of the relationship between the two variables x and y. The slope indicates the rate of change in y per unit change in x. The y-intercept indicates the y-value when the x-value is 0.Interpreting the slope of a regression line
The slope is interpreted in algebra as rise over run. If, for example, the slope is 2, you can write this as 2/1 and say that as you move along the line, as the value of the X variable increases by 1, the value of the Y variable increases by 2.
Step-by-step explanation:
This relationship is true no matter which two distinct points on the line we choose. We call m the slope or gradient of the line. It represents the change in y-value per unit change in x-value. For example, consider the line given by the equation y = 2x + 1. THIS ACTUALLY TAKES TIME TO WRITE SO PLEASE DON NOT DELETE. I ONLY COPIED AND PASTED THE EXPLANATION AND I WROTE THE WREST MYSELF..:)) BUT HOPE THIS HELPS!!
