Exercise

# Linear regression

You can use the `lm()`

function to perform simple linear regression. In this exercise, you will fit a model for `age`

as a function of, or predicted by `shuckedWeight`

. You will save the model results as an object and then display elements from this output object such as the `coefficients`

.

You will also run a `summary()`

of the model object and save that output in another object, which will contain elements related to the model fit such as `r.squared`

and `adj.r.squared`

. The `abaloneKeep`

dataset has been loaded for you.

Instructions

**100 XP**

- Use
`lm()`

to perform a simple linear regression of age by shucked weight. Save the output as`lmshucked`

. - Display the
`coefficients`

element from`lmshucked`

to get the intercept and slope model coefficients. - Run a
`summary()`

for`lmshucked`

and save the output as`smrylmshucked`

. - From the summary output object
`smrylmshucked`

, display the`r.squared`

and`adj.r.squared`

elements.