The slope of the regression equation is defined as the rise over run, which means if a slope is 2 hence if we increase the value of x by 1 this causes an effect on y that the value of y will rise by 2.
So, as here the slope is 4.2079728, thus whenever there is a rise in x value of 1 unit there will be a rise of 4.2079728 units in Y values.
Intercept: Intercept is the value of the regression equation where the Y_axis is cut by the regression line while plotting, since here intercept is -34.191477, hence the regression line or best fit line cuts the Y-axis at -34.191477 points.
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