Unformatted text preview: be height, and y i be weight, for i = 1 ,..., 10. 170 76 165 63 186 83 142 39 176 62 183 81 181 82 179 82 171 85 180 77 (1) Fit the simplest regression y i = βx i + ± i by estimating β by least squares. (2) Fit the simple regression y i = β + β 1 x i + ± i by estimating β and β 1 by least squares. (3) Using the learned simple regression, predict the weight of a person whose height is 175. (4) Draw (with your hands, not computers or calculators) the scatter plot and the ﬁtted regression lines of the simplest regression and simple regression. 1...
View
Full Document
 Winter '11
 Wu
 Least Squares, Regression Analysis, simple regression yi, simplest regression

Click to edit the document details