Regression 0.0 / 5 ? PsychologyMethods and StatisticsUniversityNone Created by: The ShrewCreated on: 17-01-16 20:39 Outcome= model + error Y= (rx) + e/ r= pearson's correlation/ x= observed data/ e=error 1 of 10 Add where line crosses y axis y=rx+a 2 of 10 Value of b * 3 of 10 Equation of straight line Y= bx+a/ b= gradient, a= intercept 4 of 10 Value of a A= y-(bx) substitute x for smallest and largest values and plot on graph 5 of 10 Y and Y with the hat Observed value/ predicted value 6 of 10 Beta values Population parameters for given values of predictors 7 of 10 b0 value of the constant- estimate rate of change of the criterion variable 8 of 10 Can explain outcome in terms of different predictors Plane of best fit- 3D model 9 of 10 Expand model to include more predictors Y=(b0+b1x1+b2x2) + error 10 of 10
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