• Join over 1.2 million students every month
• Accelerate your learning by 29%
• Unlimited access from just £6.99 per month
Page
1. 1
1
2. 2
2
3. 3
3
4. 4
4
5. 5
5
6. 6
6
7. 7
7
8. 8
8
9. 9
9
10. 10
10
11. 11
11
12. 12
12
13. 13
13
14. 14
14
• Level: GCSE
• Subject: Maths
• Word count: 3999

# What factors effect the Price depreciation of a car and how?

Extracts from this document...

Introduction

What factors effect the Price depreciation of a car and how?

As a common teenager I am reaching the legal driving age and will soon require a car. As for most teenagers my age a new car is expensive so a second hand car would by more appropriate. For this project I will be looking at cars from two data sources:

• The Primary Source. I will be doing my own research by using an “Auto Freeway“ magazine for second hand cars and a “What Car?” magazine to find the prices of the cars when they are new. (Information Provided: Car Make, Car Model, Price When New. Price Second Hand, Age, Colour, Engine Size, Mileage)
• The Secondary Source. I will be provided with this data. (Information Provided: Car Make, Car Model, Price When New. Price Second Hand, Age, Colour, Engine Size, Mileage, MPG, Fuel Type, Service History, MOT, Tax, Owners, Insurance Group, Doors, Seats, Style, Gearbox, Central Locking, Air Conditioning, Airbags)

Since the magazine is not a totally reliable source I could not research as much information for the primary source as the secondary source. After I have 100 results of each source I will use systematic sampling by selecting every second car to cut my results into half from both sources. I will compare both sources. With my results I will calculate the Price Depreciation (%) showing by how much percent the car has decreased from the (Price When New).

I suspect that there will be several trends and patterns in the results.

Middle

7

BMW

525i SE

28210

5995

78.75%

8

white

2.5

21-38

55000

3

15

4

saloon

yes

5

auto

no

yes

8

Vauxhall

Corsa

8900

4995

43.88%

2

silver

1.6

26-46

24000

1

3

3

hatch

yes

3

5

no

yes

9

Fiat

Punto

8601

3995

53.55%

4

gold

1.2

38-51

31000

1

4

5

hatch

no

4

5

no

no

10

Rover

820 SLi

21586

3795

82.42%

6

red

2

22-38

51000

3

11

5

hatch

yes

5

5

no

yes

11

Mitsubishi

Carisma

15800

5999

62.03%

2

blue

1.8

34-56

33000

1

10

4

saloon

yes

4

auto

no

yes

12

Fiat

Cinquecento

6009

1995

66.80%

6

white

0.9

43-60

20000

2

2

3

hatch

no

4

5

no

no

13

Rover

416i

13586

3795

72.07%

6

silver

1.6

30-55

49000

1

10

5

hatch

yes

4

5

no

yes

14

Nissan

Micra

6295

1795

71.49%

8

white

1.2

40-58

47000

2

4

3

hatch

no

4

5

no

no

15

Daewoo

Lanos

11225

5999

46.56%

3

silver

1.6

24-46

42000

1

6

5

hatch

no

4

auto

no

yes

16

Rover

114 Sli

8595

2495

70.97%

6

red

1.4

35-56

33000

2

5

5

hatch

yes

4

5

no

no

17

Ford

Escort

8785

1595

81.84%

7

blue

1.3

39-54

68000

3

5

5

hatch

no

4

5

no

no

18

Seat

Ibiza

5995

795

86.74%

7

silver

0.9

32-53

45000

4

5

hatch

no

4

5

no

no

19

Rover

214i

9565

1700

82.23%

8

blue

1.4

32-50

55000

3

7

3

hatch

no

4

5

no

no

20

Ford

Fiesta

7310

1050

85.64%

8

blue

1.1

45-62

90000

2

5

5

Azura

no

4

4

no

no

21

Fiat

Tempra

10423

1295

87.58%

6

silver

1.6

31-50

81000

2

9

4

saloon

yes

5

5

no

no

22

Ford

Fiesta

7875

1495

81.02%

11

red

1.8

32-50

74000

3

15

3

no

4

5

no

no

23

Hyundai

Sonnata

11598

1195

89.70%

9

silver

2

28-41

65000

3

12

4

saloon

no

5

5

no

no

24

Renault

Clio

6795

1995

70.64%

8

black

1.2

41-61

47000

1

3

3

hatch

no

4

4

no

no

25

Citroen

Debut

5715

1495

73.84%

7

black

0.95

50-62

50000

2

3

3

hatch

no

4

4

no

no

26

Renault

Clio

7403

1495

79.81%

9

red

1.2

41-61

98000

3

3

5

hatch

no

4

4

no

no

27

Fiat

Tipo

8272

1500

81.87%

7

green

1.4

32-52

32000

3

8

3

hatch

yes

4

5

no

no

28

Daewoo

Lanos

9525

4395

53.86%

3

blue

1.4

25-48

32400

1

4

3

hatch

yes

4

5

no

yes

29

Volkswagen

Golf

12999

3595

72.34%

6

red

1.8

30-50

58000

2

7

5

estate

yes

5

auto

no

no

30

Ford

Escort

12125

4295

64.58%

3

white

1.4

28-47

29000

1

5

5

hatch

no

5

5

no

no

31

Ford

Escort

11800

4700

60.17%

5

red

1.8

29-46

34000

1

9

3

hatch

no

5

5

yes

no

32

Bentley

TurboR

170841

37995

77.76%

8

red

2

8-18

55000

1

20

2

sports

no

4

auto

33

Rover

623GSi

24086

2975

87.65%

5

blue

2.3

25-41

96000

1

14

4

saloon

yes

5

5

yes

yes

34

Rover

620Si

17795

3400

80.89%

5

blue

2

25-41

66000

2

11

4

saloon

yes

5

5

no

yes

35

Fiat

Bravo

10954

6795

37.97%

1

red

1.2

Conclusion

/p>

53.79%

2

green

1.4

31-53

18500

1

5

3

hatch

yes

5

5

no

yes

44

Mercedes

Elegance

26425

17500

33.77%

2

silver

2

25-44

22000

1

12

4

saloon

yes

5

5

yes

yes

45

Porche

Sport

32995

19495

40.92%

6

silver

3

19-38

46000

1

20

2

coupe

yes

4

6

no

no

46

Volkswagen

Beetle

14950

13500

9.70%

1

silver

2

24-41

6500

1

11

3

hatch

no

4

5

no

yes

47

Rover

623 GSi

24086

2975

87.65%

6

blue

2.3

25-41

96000

2

14

4

saloon

yes

4

5

yes

yes

48

Suzuki

Vitara

10800

2995

72.27%

8

red

1.6

26-35

50000

2

9

2

utility

yes

2

5

no

no

49

Rover

416i

14486

3685

74.56%

6

blue

1.6

30-55

64000

1

10

5

hatch

yes

4

5

no

yes

50

Vauxhall

Corsa

7840

4976

36.53%

4

red

1.4

31-52

21000

2

3

5

hatch

no

4

5

no

no

Primary

 Car Number Make Model Price When New Price Second Hand Price Depreciation Age Colour Engine Size Mileage 1 Ford Fiesta £7,595.00 £5,995.00 21.07% 3 blue 1.3 35000 2 Fiat Punto £8,006.00 £4,600.00 42.54% 2 Met Green 1.2 18000 3 Ford Ka £8,850.00 £4,995.00 43.56% 3 Blue 1.3 21000 4 Ford Ka £8,850.00 £3,495.00 60.51% 6 red 1.3 25000 5 Ford Ka £8,850.00 £3,995.00 54.86% 3 silver 1.3 20000 6 Citroen Cx £8,995.00 £2,200.00 75.54% 16 Silver 1.0 78000 7 Citroen Saxo £8,995.00 £4,999.00 44.42% 4 Blue 1.4 23500 8 Citroen Saxo £9,995.00 £8,495.00 15.01% 1 Ice Grey 1.6 12000 9 Citroen Xantia £10,995.00 £4,995.00 54.57% 4 Blue 1.9 57000 10 Ford Fiesta £11,170.00 £1,995.00 82.14% 9 Met Red 1.6 42000 11 Ford Fiesta £11,170.00 £2,695.00 75.87% 6 red 1.6 75000 12 Ford Escort £11,800.00 £2,695.00 77.16% 7 Red 1.6 34000 13 Ford Fiesta £12,165.00 £3,399.00 72.06% 4 Silver 1.8 33000 14 Daewoo Nubira £12,999.00 £5,495.00 57.73% 2 White 1.6 19000 15 Fiat marea £14,313.00 £3,595.00 74.88% 6 dark green 1.9 70000 16 Ford Puma £14,550.00 £7,895.00 45.74% 4 Met Blue 1.7 36000 17 Ford Mondeo £14,600.00 £4,594.00 68.53% 5 Red 1.8 48000 18 Audi A3 £14,640.00 £10,000.00 31.69% 5 Blue 1.9 20000 19 Daewoo Leganza £15,999.00 £3,995.00 75.03% 5 Red 2.0 49000 20 BMW 320 £18,999.00 £13,995.00 26.34% 1 Black 2.2 4000 21 BMW 520l £19,999.00 £1,100.00 94.50% 15 Grey 2.3 143000 22 Ford Galaxy £20,550.00 £10,995.00 46.50% 5 Silver 2.3 20000 23 Ford Cougar V6 £20,850.00 £9,495.00 54.46% 4 Met Black 2.5 19000 24 Ford Scorpio £20,860.00 £2,695.00 87.08% 9 Silver 2.9 63000 25 BMW 523i SE £24,999.00 £9,995.00 60.02% 4 black 2.0 85000 26 BMW 523i SE £24,999.00 £9,995.00 60.02% 4 Met grey 2.0 84000 27 Audi S4 £36,150.00 £19,995.00 44.69% 5 Silver 2.7 36000 28 Honda Accord £14,150.00 £6,495.00 54.10% 4 silver 1.8 40000 29 Honda Civic £15,945.00 £4,395.00 72.44% 6 Black 1.6 50000 30 Honda Civic £14,945.00 £4,995.00 66.58% 5 Red 1.4 31000 31 Honda Civic £15,945.00 £7,765.00 51.30% 5 Silver 1.6 40000 32 Honda CRV £16,280.00 £8,750.00 46.25% 4 met blue 2.0 81000 33 Honda prelude £18,205.00 £6,995.00 61.58% 4 met green 2.2 55000 34 Mazda MX5 £16,490.00 £4,995.00 69.71% 10 Black 1.6 124000 35 Mercedes-Bens SLK £31,580.00 £24,995.00 20.85% 2 Blue 2.0 15000 36 Mitsubishi Galant £17,065.00 £8,495.00 50.22% 3 Met Red 2.0 29000 37 Nissan Primera £11,090.00 £8,995.00 18.89% 2 Met Red 1.8 23000 38 peugeot 205 £7,690.00 £1,995.00 74.06% 14 black 1.6 42000 39 Renault Clio £7,170.00 £5,395.00 24.76% 3 Silver 1.2 20000 40 Skoda Favorit £6,170.00 £1,595.00 74.15% 11 Grey 1.0 43000 41 Subaru Legacy £13,650.00 £3,995.00 70.73% 7 Met green 2.2 48000 42 Toyota Landcruiser £43,615.00 £11,895.00 72.73% 7 Dark Green 3.4 56000 43 Vauxhall Polo £12,650.00 £4,700.00 62.85% 4 Purple 1.0 17000 44 Vauxhall Cavalier £9,500.00 £500.00 94.74% 15 gold 2.0 95000 45 Volvo S40 £15,995.00 £6,995.00 56.27% 5 Blue 1.9 38000 46 Volvo V70 XLT 10v £16,650.00 £8,995.00 45.98% 4 Dark Blue 2.5 76000 47 Volvo Wentworth Estate £8,950.00 £1,495.00 83.30% 10 Met Green 2.5 89500 48 VW Golf £10,555.00 £2,500.00 76.31% 6 Black 2.0 180000 49 VW Golf £10,555.00 £6,495.00 38.47% 2 Red 2.0 14000 50 VW polo £7,190.00 £6,995.00 2.71% 3 silver 1.4 20000

This student written piece of work is one of many that can be found in our GCSE Gary's (and other) Car Sales section.

## Found what you're looking for?

• Start learning 29% faster today
• 150,000+ documents available
• Just £6.99 a month

Not the one? Search for your essay title...
• Join over 1.2 million students every month
• Accelerate your learning by 29%
• Unlimited access from just £6.99 per month

# Related GCSE Gary's (and other) Car Sales essays

1. ## Used Cards - find which factors will influence the price of a second hand ...

Here are the details of car No. 15. 15 Mercedes C-Class 93-01 Missing 90000 As mistakes can not be included in the sample, because it will cause an error and an anomaly in my graph, I decided to get rid of the car numbers that had errors.

2. ## Maths - statistical driving test

Techniques to be used 1. Estimations of mean from grouped data. 2. Frequency polygons. 3. Cumulative frequency graphs. 4. Box plots I need to use these four techniques to investigate hypothesis three in order to find as accurate an answer as possible.

1. ## Handling data Used car prices

The second graph shown above as part of hypothesis 2, shows that the older the car the more miles it has done and this graph shows that the more miles done by the car, the higher the value of depreciation.

2. ## Legal and Ethical Analysis of Ford Pinto

In August 1973, NHTSA announced a proposal for a 30 mph moving barrier, rear-end fuel system integrity standard, effective September 1976 for all 1977 models. The fuel system integrity standard was also applicable to rollover accidents. In 1977, Standard 301 was fully enacted (25).

1. ## Used second hand cars

Nissan VI 6 Peugot V 5 Porche I 1 Renault VI 5 Rolls Royce I 1 Rover XII 12 Seat I 1 Suzuki I 1 Toyota I 1 Vauxhall XVIII 13 Volkswagen VII 7 Total 100 I now have to decide how many cars from each make should be included

2. ## Factors affecting price of Used Car

each of the three factors I chose and percentage difference between price when new and second hand price. I will look at each car makes coefficient of correlation represented by the symbol 'r' which will tell me exactly what the correlation is using figures.

1. ## Maths coursework - car prices

predications from the line of best fit, which I will then conclude the scatter graph and refer back to my predications. Third hypothesis The third of my hypothesis is that I believe that there is: H0. The percentage rate of depreciation is constant from one year to the next. H1.

2. ## Theory of Whether The Age of a Car Is Directly Proportional To It's Depreciation

This could be due to other factors that have helped reduce the price of the car or it could be the fact that the data may not be accurate enough. Apart from a few cars the tables and graph do follow the same pattern.

• Over 160,000 pieces
of student written work
• Annotated by
experienced teachers
• Ideas and feedback to