Homework: ANOVA and Regression using R

The airquality data contains records on ozone, temperature, solar radiation, wind during May $1$ to September $30$ in $1973.$ The following is a description of the variables.

Ozone: Mean ozone in parts per billion from $1300$ to $1500$ hours at Roosevelt Island

Solar.R: Solar radiation in Langleys in the frequency band $4000-7700$ Angstroms from $0800$ to $1200$ hours at Central Park

Wind: Average wind speed in miles per hour at $0700$ and $1000$ hours at LaGuardia Airport

Temp: Maximum daily temperature in degrees Fahrenheit at La Guardia Airport.

You can check the details of the airquality data.

Section $1$: write a $R$ script to complete the following tasks on data cleaning and descriptive statistics:

Set your R working directory on your computer.

Import "airquality" data from any of the format: Rdata, csv$,$ or txt and name it as raw.

Change variable name "Solar.R$"$ to "SolarRidiation"

Get mean ozone level for the following sample or sub$-$samples.

a$.$ the overall mean Ozone level for the entire sample

b$.$ mean ozone level when Temp is no higher than $70$ lang

c$.$ mean ozone level when Temp is higher than $70$ but below $80$ lang

d$.$ mean ozone level when Temp is above $80$ lang but wind is no higher than $10$ miles per hour

e$.$ mean ozone level when Temp is above $80$ lang but wind exceeds $10$ miles per hour

Create a histogram for Ozone level.

Calculate the variance and the standard deviation of Ozone

Get a subsample of data with no missing value for Ozone variable using na$.$omit$()$ function and