IMM250H1 Lecture Notes - Lecture 12: Linear Regression, Simple Linear Regression, Master Of Surgery

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28 Aug 2016
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So age has strong relationship with the y dep variable we have. Q: using two separate regression equatiosn to predict sentence length. Prioris as x, another equation based on age as x. add together r2 values. Also, if lots of shit that goes into it and you add it up and get an r2 over 1 then it"s pointless. This is the expected value of y when bothx1 and x2 are 0. b1 = the partial slope of the first independent variable (x1) This is the expected change in f y when for every 1-unit increase in x1 holding constant x2. b2 = the partial slope of the second independent variable (x2) This is the expected change in f y when for every 1-unit increase in x2holding constant x1. From our example, we could calculate a multiple regression equation predicting sentence lengths as follows: Convictions = y intercept + slope*priors + slope*age.

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