### Dataset:

cars.okc (See the raw data)

The Cars dataset has 392 observations and 7 variables describing
attributes of cars.

The complete variables are:

**M**iles **P**er **G**allon
**Cylinders** (3, 4, 5, 6, and 8)
**Horsepower**
**Weight**
**Acceleration**
**Year** of manufacture (70-90)
- Country of
**Origin** (1=American, 2=European, 3=Japanese)

### Hypotheses:

- The cars with high MPG will be mostly 4 cylinder cars with low weight and acceleration.
- American makes heavier cars than does Japanese.

### Analysis (to verify or refute any of these hypothese):

- First, deselect Year and Origin
(i.e. only selecting MPG, Cylinders, Horsepower, Weight, Acceleration).

Then, highlight cars with **high MPG** and see that **most of them are 4 cylinder cars with low weight,
but, not necessary low acceleration. Therefore, refute this hypothesis.**

Note that a couple of exceptions exist, and by moving the brush to exclude 4 cylinder cars,
we see data points corresponding to 5 and 6 cylinder cars that have good fuel economy.

- First, select only Weight and Origin (and deselecting the other variables).

Then, highlight American (Origin=1) and Japanese (Origin=3) on parallel coordinates.
The graphs show that Japanese makes light weight cars, and
American makes all range (from light to heavy) weight cars.

When brushing heavier cars (Weight>3000) on scatter plot matrix, it shows
that all data points higher than 3000 on Weight are not mapped to Japanese.
That is, heavy cars are mostly from American.

**When brushing American (Origin=1), American also makes light weight cars.
Therefore, refute this hypothesis.**