Exercise

# Extracting parameter estimates

Coefficient estimates are generally of main interest in a regression model. In the previous exercise you learned how to view the results of the model fit and hence the coefficient values along with their corresponding statistics. In this exercise you will learn how to extract the coefficients from the model object.

The attribute `.params`

contains the coefficients of the fitted model, starting with the intercept value. To compute a 95% confidence interval for the coefficients you can use the method `.conf_int()`

of the fitted model `wells_fit`

.

Recall that the model you fitted was saved as `wells_fit`

and as such is loaded in your workspace.

Instructions

**100 XP**

- Save the coefficients as
`intercept`

and`slope`

using the`.params`

attribute. - Print the saved intercept and slope.
- Extract and print 95% confidence intervals for the coefficients using
`.conf_int()`

.