Machine Learning with R Cookbook - Second Edition

How to do it...

Perform the following steps to predict values with multiple regression:

1. Fit a linear model with the income, prestige, and women variables:

        > model = lm(income ~ prestige + women, Prestige)  

2. Assign values to be predicted into newdata:

        > newdat = data.frame(prestige = c(75,80), women=c(14,13))

3. Compute the prediction result using the confidence interval with level set as 0.95:

        > predict(model, newdata = newdat)        Output:            1        2         12194.80 13072.56 
  

Compute the prediction result using this prediction interval:

> predict(model, newdata = newdat, interval="predict")Output:    fit      lwr       upr1 12194.80 6994.903 17394.692 13072.56 7847.050 18298.06