lareynademividp0a99r
19.10.2019 •
Mathematics
Using the data in gpa2.csv, we obtain the following equation for predicting college gpa: colgpa \ =1.493 (.075) + .00149 (.7) sat − .01386 (.00056) hsperc − .06088 (.01650) hsize + .00546 (.00227) hsize2 n = 4, 137, r2 = .278, r¯2 = .277, σˆ = .560. (a) what is the predicted college gpa when sat = 1, 200, hsperc = 30 and hsize = 5 (which means 500)? (b) obtain a 95% confidence interval for the prediction above. (you may need to change the original model to run a new regression.)
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Ответ:
M = rise over run (count how many times you go up -rise- and across-run- and make it a fraction which makes your slope
B= y-Intercept , where y crosses