Mathematics, 22.02.2021 19:40, dymi6n

The dataset prostate comes from a study on 97 men with prostate cancer who were due to receive a radical prostatectomy. Fit a model with lpsa as the response and lcavol as the predictor. Record the residual standard error and the R^2. Now add lweight, svi, lbph, age, lcp, pgg45 and gleason to the model one at a time. For each model record the residual standard error and the R^2. Plot the trends in these two statistics. You can use lm) function in this question.

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The dataset prostate comes from a study on 97 men with prostate cancer who were due to receive a rad...