MGTS-312 Lecture Notes - Lecture 14: Dependent And Independent Variables
21 May 2017
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Steps to make table for ssr, sse and sst calculations with examples. Lets" conside(cid:396) the (cid:395)uestion # 3 in your ch-14 class practice note as follows: Given are five observations for two variables, x and y. We already have calculated the estimated regression equation earlier y. 0. 2 2. 6 x: calculate the sse, sst and ssr, compute the coefficient of determination and interpret the result, calculate the sample correlation coefficient. The estimated regression equation and the mean for the dependent variable are: y i. The sum of squares due to error and the total sum of squares are. Thus, ssr = sst - sse = 80 - 12. 4 = 67. 6. 80 r2 = ssr/sst = 67. 6/80 = . 845. The least squares line provided a very good fit; 84. 5% of the variability in y has been explained by the least squares line. xyr .
