Linear_regression_week_14b - Linear regression...

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Linear regression Transformations
TRANSFORMATIONS EXAMPLEConsider the following data and scatterplotxy122136414515630740874975
TRANSFORMATIONS EXAMPLEConsider the following data and regression modelxyyhat12-11.11121-1.194368.72341418.64051528.55763038.47474048.39187458.30897568.225The regression equation isyhat = - 21.0 + 9.92 xPredictor Coef SE Coef T PConstant -21.028 7.881 -2.67 0.032x 9.917 1.401 7.08 0.000S = 10.8483 R-Sq = 87.7% R-Sq(adj) = 86.0%Analysis of VarianceSource DF SS MS F PRegression 1 5900.4 5900.4 50.14 0.000Residual Error 7 823.8 117.7Total 8 6724.2
TRANSFORMATIONS EXAMPLEConsider the following data and residual analysisxy122136414515630740874975What can we do to fit a model to this data. One option is to perform a transformation!

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