Below is some partial output for a simple linear regression…
Below is some partial output for a simple linear regression model that relates sepal width (X) to sepal length (Y) for the iris setosa flower, based on data collected by the famous statistician Sir Ronald Fisher. Measurements are in centimeters: Pearson correlation of X and Y = 0.701 P-Value = 0.000 Predictor Coef SE Coef T P Constant 2.7330 0.3429 7.97 0.000 X 0.66111 0.09903 6.68 0.000 Y= 2.7330 +0.66111 X S = 0.258174 R-Sq = 0.492 If the sepal width increases by one centimeter , the sepal length ,on average, increases by :