Thank you so much for helping :)

R studio is needed for following questions.

Youll be working on the prostate cancer dataset under data/prostate_cancer.csv.

The main aim of collecting this data set was to inspect the association between prostate-specific antigen (PSA) and prognostic clinical measurements in men with advanced prostate cancer. Data were collected on 97 men who were about to undergo radical prostectomy.

1.Fit the following simple linear regression model and interpret the results. Transform the dependent variable if necessary

Youll be working with the Birthweight dataset under data/Birthweight_dataset.csv.

2. Fit the following multiple linear regression model and interpret the results. Transform the dependent variable if necessary

3.Defining low birth weight (naming it low) as Birthweight

PSAi=0+2agei P(SAi=0+2agei+3(seminalvesicalinvasion)i+4I(Gleasonscorei=7)+5I(Gleasonscorei=8)+6I(Gleasonscorei=7)agei+7I(Gleasonscorei=8)agei logit(P(low=FALSE)P(low=TRUE))=0+1 mage +2 Gestation +3 mppwt