How is a confidence interval calculated in R?
In R, a confidence interval can be calculated using the function `confint()`. This function takes as input a model object (such as a linear regression model) and a specified confidence level (typically 95%). The function then calculates and returns the confidence interval for the estimated coefficients or parameters of the model. The confidence interval provides a range of values within which we can be reasonably confident that the true parameter value lies, based on the data and the specified confidence level.
This mind map was published on 15 May 2024 and has been viewed 25 times.
