The Regression Equation Is Y. This is used to describe the variations in the value Y. M is the slop of the.
N Number of values or elements. B The slope of the regression line. Ow many parameters Bs does the model lm Y U X1 x2 x3 U have.
Keep in mind that the predictor variable Tutor was not statistically significant at alpha level 005 so you may choose to remove this predictor from the model and not use it in the final estimated regression equation.
The extreme value of the estimated regression equation occurs at x 15 2pt Consider a quantitative response Y quantitative predictors X1 through X3 and a dummy ariable U that takes only the values 0 and 1. Each point of data is of the the form x y and each point of the line of best fit using least-squares linear regression has the form xy x y. X a b XY Y X 6 Y. N Number of values or elements.
