... are presented with upstanding citizens of the 'new country', planted in uncertainty, having to face the possibility of attack from the Indians, yet they are still mannerly, courteous and even have a relationship with the local Reverend; it provides upstanding, ...

... the formula =rand () on excel; this gave me my sample of 15 red cars, and 15 blue cars. This is the data I received from my random sample. I'm only showing the name of the car and the price in ...

... low, so far supporting my hypothesis. Also, by looking at the graph I have discovered that the average price is approximately £2500; I know this because most of the points are gathered around this figure, and my line of best ...

... that go higher in price. Or there is a missing data value. I will determine these from my results. Collection of Data Car Make Model Price Price Age Mileage no. New Used 6 Suzuki Liana 10010 4340 4 10010 20 Ford Fiesta 95-99 7695 755 11 10000 22 Audi A2 14237 7100 6 20000 30 Mercedes E-Class 2000 32867 24435 4 73000 33 Seat Arosa 7025 1560 9 10000 43 Mazda Demio 10590 1920 8 71000 49 Mercedes E-Class 2002 28530 17595 5 58000 51 Volvo S40 18305 5645 6 14730 63 Ford Focus 12700 7 7600 68 Ford Mondeo 93-96 12255 690 11 34000 75 Ford Mondeo 96-00 16385 3335 7 22000 79 Subaru Forester 16945 4550 9 50000 83 Land Rover Discovery 30805 8715 7 43000 94 Seat Cordoba 9995 1570 8 38000 99 Suzuki Alto 6700 1120 9 57000 103 Toyota Supra 41500 7730 11 52000 108 Ford Fiesta 13520 2330 8 12500 112 Vauxhall Tigra 11675 2025 11 90000 113 Ford Cougar 19990 4470 8 10000 120 Nissan Almera 13075 9075 2 90000 128 Subaru Impreza 13950 6130 6 15000 134 Ford Galaxy 18745 3885 11 10000 142 Vauxhall Zafira 14992 5565 6 10000 144 Suzuki Baleno 10170 900 10 60000 150 Ford fiesta 9450 5050 4 10000 153 Mercedes E-Class 30710 8805 9 12000 167 Ford Mondeo 12255 690 11 10000 182 Alfa Romeo 155 13750 915 11 12000 192 Ford Fiesta 6565 485 11 10000 194 Mercedes C-Class 31575 4995 10 90000 Carry Out Age & Mileage My results are showing ...

... close to the best-fit line, we say that there is a strong correlation. If the points are loosely scattered, there is a weak correlation. There is no correlation if there is no trend in the results. I am going ...

... industry is platforms, or production lines. The Japanese and European firms invested heavily in multi-car platforms and can now base a number of cars on one platform, rather than the traditional method of one car per platform. This has reduced ...

... same shade of red for their borders; B has bold arrows of this colour going out to each of the cars, on which there is info about that car. While A also has some bold red writing. I think this ...

... more chance there is of it breaking down. This in turn will make the insurance fairly high, and the cost of ownership will increase dramatically, because the user may have to use a lot of their money on repairs. It ...

... example a Ford Focus will depreciate at a slower rate than a Ford Escort because it is higher up in the range and more desirable to buyers. Hypothesis 1 As a vehicle's age increases the price of that vehicle will decrease. To ...

... about the sanest, most pragmatic, and yet most underrated rally car in history. I had to be underrated, after all the last time Ford won a Championship was fifteen years ago; hardly amusing. But today I, the new Ford, am ...

... across six continents employing more than 327,000 people worldwide. The company consists of eight core and affiliated brands (Aston Martin, Ford, Jaguar, Land Rover, Lincoln, Mazda, Mercury and Volvo) and automotive related services (Ford Credit and Hertz). In 1903, Ford Motor ...

... + 37 Gradient = Y/X = 43/72 = 0.6 (1.d.p) Y= 0.6x + 37 E.g.: Assume a car has done 50,000 miles. How much is its current price if the car was bought new for £15,000 % Age loss = 0.6 x 50 + 37 ...

... was to take it from the local newspaper in the car adverts section, but then I thought that might be a little biased or wrong because I am only taking the data from one region and the same car might ...

... where I was going to take my data from. I first instinct was to take it from the local newspaper in the car adverts section, but then I thought that might be a little biased or wrong because I am ...

... investigating a range of variables to go with used price. These include 1. price new 2. price used 3. age 4. colour 5. engine 6. fuel 7. MPG 8. mileage 9. service 10. owners 11. length of MOT 12. road tax 13. insurance 14. doors 15. style 16. C looking 17. ...

... on my calculator to generate random number with which I was able to collect the cars I hope to analyse. Out of 100 cars I have chosen 36. I feel that 36 are a sufficient number to get the best ...

... at the second hand price because you can not show the original price, so I will look at the price loss of the car to get a better idea of the relationship between mileage and second hand price. Price When New 2nd ...

... overtaking the market. Ford had conducted many tests related to the Ford Pinto's fuel system. An early question was where to safely put the gas tank. They decided to keep the tank in the original location behind the rear axel ...

... Bravo 5 %66 12 Vauxhall Vectra 4 %64 13 BMW 525i SE 8 %79 14 Vauxhall Corsa 2 %44 15 Fiat Punto 4 %53 16 Rover 820 SLi 6 %82 17 Mitsibushi Carisma 7 %62 18 Fiat Cinquecento 6 %67 19 Rover 416i 6 %72 20 Nissan Micra 8 %71 21 Daewoo Lanos 3 %47 22 Rover 114Sli 6 %71 23 Ford Escort 7 %82 24 Fiat Uno 8 %28 25 Rover Metro 7 %86 26 Vauxhall Nova 10 %82 27 Toyota Corrolla 2 %46 28 Vauxhall Cavlier 10 %92 29 Volkwagen Golf 7 %61 30 Seat Ibiza 7 %87 31 Rover 214i 8 %82 32 Ford Fiesta 8 %86 33 Fiat Tempra 6 %87 34 Ford Fiesta 11 %81 35 Hayundai Sonnata 9 %90 I have rounded up the depreciation to the ...

... be able to interpret them easier and so draw conclusions. Hypothesis: As the age of the car increases the percentage depreciation in the price will also increase, meaning that the price of the car will decrease. The factors that play ...

... I have stated my hypothesis for this investigation I will need to draw up graphs to analyse my variables and relate my results back to my hypothesis. I will start by plotting a scatter graph to compare engine size and ...

... about which bike is the most economical. Using this information I have written up the following graph:- As you can plainly see from the graph there is an obvious outlier. An outlier, also known as an anomaly is a number that is ...

... been done So the factors that I will investigate in my coursework are * Make or manufacturer * Mileage * Age I will not investigate any of the other factors because I think that they will not have a large impact on the second ...

... know how many of each age is needed. I will choose these cars at complete random. Paying attention to the age, I will manually search the age field and pick out the cars and their statistics. I will do this ...

... know how many of each age is needed. I will choose these cars at complete random. Paying attention to the age, I will manually search the age field and pick out the cars and their statistics. I will do this ...