We can examine the relationship between PSA level and the other predictors by running a regression analysis. The regression analysis will allow us to determine the strength of the relationship and the direction of the relationship (positive or negative) between PSA level and the other predictors. For example, if we find that PSA level is positively correlated with age, then it indicates that PSA level increases with age. For the qualitative variable, vesinv, we can use dummy variables to represent the different categories. For example, if there are three categories of vesinv, we can create three dummy variables, each representing one category. After constructing the dummy variables, we can then add them to the regression model to examine the relationship between PSA level and vesinv.
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