Exercise

# Scaling data - investigating columns

We want to use the `Ash`

, `Alcalinity of ash`

, and `Magnesium`

columns in the wine dataset to train a linear model, but it's possible that these columns are all measured in different ways, which would bias a linear model. Using `describe()`

to return descriptive statistics about this dataset, which of the following statements are true about the scale of data in these columns?

Instructions

**50 XP**

##### Possible Answers

- The max of
`Ash`

is 3.23, the max of`Alcalinity of ash`

is 30, and the max of`Magnesium`

is 162. - The means of
`Ash`

and`Alcalinity of ash`

are less than 20, while the mean of`Magnesium`

is greater than 90. - The standard deviations of
`Ash`

and`Alcalinity of ash`

are equal. - 1 and 2 are true.