From a large car data set, a company would like to have a tool to predict prices for used cars. Therefore they first need to understand the relationship between different predictors (independent variables) and the used cars price.
For the following questions we assume that the price is determined by a number of predictors contained in the dataset.
- Investigate which continuous predictors have an influence on the price.
- Investigate which ordinal predictors have an influence on the price.
- Investigate which nominal predictors have an influence on the price.
How do I best analyse this