Interpreting Regression Tables-II
Explore how to interpret the lower and upper bounds of 95% confidence intervals in regression tables. Understand what these intervals imply about population slopes and the relationship between variables. Discover how standard errors contribute to interval calculations and the assumptions behind theory-based inference methods in regression.
We'll cover the following...
Let’s now explore the remaining columns, the lower_ci and upper_ci, in the table below:
Previously Seen Regression Table
Term |
|
|
|
|
|
|
Intercept | 3.880 | 0.076 | 50.96 | 0 | 3.731 | 4.030 |
| 0.067 | 0.016 | 4.09 | 0 | 0.035 | 0.099 |
Confidence interval
The two rightmost columns of the regression table above (lower_ci and upper_ci) correspond to the endpoints of the 95% confidence interval for the population slope