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Introduction The aim of this investigation is to use information from a data spreadsheet on various factors about 100 used cars. From this information I must select 3 factors and see how they affect the price and price depreciation of a second hand car. There are many factors including age, mileage, fuel, engine, make, model and etc. I will be taking a sample and then using it to investigate the price depreciation and find out how positively or negatively strong the correlation is between the factor and depreciation. Pre-Test Before starting my investigation I made a quick survey asking 10 people about their opinions on factors worth considering before buying a used car. This will allow me to make a rough prediction on the results. The results are as followed: Factor Frequency Total Age IIIII III 8 Mileage IIIII I 6 Make IIII 4 Model I 1 Engine III 3 Owners IIIII 5 Colour III 3 Total people asked: 30 This table and graph show which factors were the most common within a group of people who were surveyed. Hypothesis I think...

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