# Maths Statistics Investigation

Introduction

I’m going to investigate how the condition of a car e.g. bodywork, mileage, age and any special features, affects the price.  In my opinion the age of the car will have the biggest effect on its price, as with most cars, the older it becomes the more its price will depreciate. I’m going to draw a scatter graph to find the relationship between the price and the age.

I will investigate the first 30 cars on my datasheet except number 15 because it doesn’t have a price number. I have a secondary data sheet showing different information which may help me in my investigation.

In my opinion not only the age of the car will affect the car price, there are some other factors, which might also affect the car price, such as the colour, mileage, engine size and number of owners.  The second factor I will investigate is the relationship between the price and the mileage, but this time I will choose 50 random numbers from my data sheet.

Now I’m going to draw two scatter graphs (Age VS % depreciation) and (Mileage VS % depreciation)

On my second graph some cars fall way above my line of best fit e.g. car no. 38 Volvo which is 11 years old but has a low mileage, car no.157 Daewoo which is 11 years old but has a low mileage, car no. 201 which is also 11 years old but has a low mileage and car ...