Task 4: A fashion student was interested in factors that predicted the salaries of cat-walk models.

She collected data from 231 models. For each model she asked them their salary per day on days when they were working (Salary), their age (Age), how many years they had worked as a model

(Years), and then got a panel of experts from modelling agencies to rate the attractiveness of each model as a percentage, with 100% being perfectly attractive (Beauty). The data are in the file Supermodel.sav. Unfortunately, this fashion student bought a substandard statistics textbook and so doesn’t know how to analyse her data. Can you help her out by conducting a multiple regression to see which variables predict a model’s salary? How valid is the regression model? ②