Motor Trend Car Road Tests

Problem2: Motor Trend Car Road Tests (mtcars)

1. What data is in mtcars?

Help(mtcars)

Motor Trend Car Road Tests

Description

The data was extracted from the 1974 Motor Trend US magazine, and comprises fuel consumption and 10 aspects of automobile design and performance for 32 automobiles (1973–74 models).

Usage

mtcars

Format

A data frame with 32 observations on 11 variables.

Source

Henderson and Velleman (1981), Building multiple regression models interactively. Biometrics, 37, 391– 411 

DATA EXPLORATION

dim(mtcars)

[1] 32 11

• It means the data have 32 observations on 11 different variables

data.matrix(mtcars)

                     mpg cyl  disp  hp drat    wt  qsec vs am gear carb

Mazda RX4           21.0   6 160.0 110 3.90 2.620 16.46  0  1    4    4

Mazda RX4 Wag       21.0   6 160.0 110 3.90 2.875 17.02  0  1    4    4

Datsun 710          22.8   4 108.0  93 3.85 2.320 18.61  1  1    4    1

Hornet 4 Drive      21.4   6 258.0 110 3.08 3.215 19.44  1  0    3    1

Hornet Sportabout   18.7   8 360.0 175 3.15 3.440 17.02  0  0    3    2

Valiant             18.1   6 225.0 105 2.76 3.460 20.22  1  0    3    1

Duster 360          14.3   8 360.0 245 3.21 3.570 15.84  0  0    3    4

Merc 240D           24.4   4 146.7  62 3.69 3.190 20.00  1  0    4    2

Merc 230            22.8   4 140.8  95 3.92 3.150 22.90  1  0    4    2

Merc 280            19.2   6 167.6 123 3.92 3.440 18.30  1  0    4    4

Merc 280C           17.8   6 167.6 123 3.92 3.440 18.90  1  0    4    4

Merc 450SE          16.4   8 275.8 180 3.07 4.070 17.40  0  0    3    3

Merc 450SL          17.3   8 275.8 180 3.07 3.730 17.60  0  0    3    3

Merc 450SLC         15.2   8 275.8 180 3.07 3.780 18.00  0  0    3    3

Cadillac Fleetwood  10.4   8 472.0 205 2.93 5.250 17.98  0  0    3    4

Lincoln Continental 10.4   8 460.0 215 3.00 5.424 17.82  0  0    3    4

Chrysler Imperial   14.7   8 440.0 230 3.23 5.345 17.42  0  0    3    4

Fiat 128            32.4   4  78.7  66 4.08 2.200 19.47  1  1    4    1

Honda Civic         30.4   4  75.7  52 4.93 1.615 18.52  1  1    4    2

Toyota Corolla      33.9   4  71.1  65 4.22 1.835 19.90  1  1    4    1

Toyota Corona       21.5   4 120.1  97 3.70 2.465 20.01  1  0    3    1

Dodge Challenger    15.5   8 318.0 150 2.76 3.520 16.87  0  0    3    2

AMC Javelin         15.2   8 304.0 150 3.15 3.435 17.30  0  0    3    2

Camaro Z28          13.3   8 350.0 245 3.73 3.840 15.41  0  0    3    4

Pontiac Firebird    19.2   8 400.0 175 3.08 3.845 17.05  0  0    3    2

Fiat X1-9           27.3   4  79.0  66 4.08 1.935 18.90  1  1    4    1

Porsche 914-2       26.0   4 120.3  91 4.43 2.140 16.70  0  1    5    2

Lotus Europa        30.4   4  95.1 113 3.77 1.513 16.90  1  1    5    2

Ford Pantera L      15.8   8 351.0 264 4.22 3.170 14.50  0  1    5    4

Ferrari Dino        19.7   6 145.0 175 3.62 2.770 15.50  0  1    5    6

Maserati Bora       15.0   8 301.0 335 3.54 3.570 14.60  0  1    5    8

Volvo 142E          21.4   4 121.0 109 4.11 2.780 18.60  1  1    4    2

• The data matrix function to output the data inside mtcars dataset

str(mtcars)

'data.frame':        32 obs. of  11 variables:

 $ mpg : num  21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ...

 $ cyl : num  6 6 4 6 8 6 8 4 4 6 ...

 $ disp: num  160 160 108 258 360 ...

 $ hp  : num  110 110 93 110 175 105 245 62 95 123 ...

 $ drat: num  3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ...

 $ wt  : num  2.62 2.88 2.32 3.21 3.44 ...

 $ qsec: num  16.5 17 18.6 19.4 17 ...

 $ vs  : num  0 0 1 1 0 1 0 1 1 1 ...

 $ am  : num  1 1 1 0 0 0 0 0 0 0 ...

 $ gear: num  4 4 4 3 3 3 3 4 4 4 ...

 $ carb: num  4 4 1 1 2 1 4 2 2 4 ...

1. Analysis the relation between mpg and cyl

[pic 1][pic 2]

1. [pic 3]

[pic 4]

This plot show us the analysis between mpg(miles per gallon) with cyl(number of cylinders) that every cars use in onrder of mgp, from highest mpg to the lowest. The result mostly cars with the large number of mpg that use the less number cylinder the cars have.