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en:learning:schools:s01:lecture-notes:ba-ln-05

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 en:learning:schools:s01:lecture-notes:ba-ln-05 [2017/10/30 10:20]aziegler en:learning:schools:s01:lecture-notes:ba-ln-05 [2017/10/30 10:21]aziegler Both sides previous revision Previous revision 2017/10/30 10:21 aziegler 2017/10/30 10:21 aziegler old revision restored (2015/09/28 09:17)2017/10/30 10:20 aziegler 2017/10/30 10:17 aziegler 2017/10/30 10:16 aziegler 2015/09/28 09:17 tnauss [Time for practice] 2015/09/22 16:22 external edit Next revision Previous revision 2017/10/30 10:21 aziegler 2017/10/30 10:21 aziegler old revision restored (2015/09/28 09:17)2017/10/30 10:20 aziegler 2017/10/30 10:17 aziegler 2017/10/30 10:16 aziegler 2015/09/28 09:17 tnauss [Time for practice] 2015/09/22 16:22 external edit Line 19: Line 19: ===== Prediction ===== ===== Prediction ===== + [[http://​xkcd.com/​605/​|{{http://​imgs.xkcd.com/​comics/​extrapolating.png|http://​xkcd.com/​605/​}}]] Predicting data values based on a linear regression model is quite straight forward. Given that the independent variable x<​sub>​i​ is available for position i (e.g. a research plot location), one can estimate (i.e. predict) the value of the dependent variable y<​sub>​i​ using Predicting data values based on a linear regression model is quite straight forward. Given that the independent variable x<​sub>​i​ is available for position i (e.g. a research plot location), one can estimate (i.e. predict) the value of the dependent variable y<​sub>​i​ using