# Elementary Statistics with R

Tutorials on elementary statistics with R.

## Prediction Interval for MLR

A tutorial on the prediction interval for a multiple linear regression model.

## Confidence Interval for MLR

A tutorial on the confidence interval for a multiple linear regression model.

## Significance Test for MLR

A tutorial on the significance test for a multiple linear regression model.

## Adjusted Coefficient of Determination

A tutorial on the adjusted coefficient of determination for a multiple linear regression model.

## Multiple Coefficient of Determination

A tutorial on the coefficient of determination for a multiple linear regression model.

## Estimated Multiple Regression Equation

A tutorial on estimated regression equation for a multiple linear regression model.

## Multiple Linear Regression

A multiple linear regression (MLR) model that describes a dependent variable y by independent variables x1, x2, ..., xp (p > 1) is expressed by the equation as follows, where the numbers α and βk (k = 1, 2, ..., p) are the parameters, and ϵ is the error term.

## Normal Probability Plot of Residuals

A tutorial on the normal probability plot for the residual of a simple linear regression model.

## Standardized Residual

A tutorial on the standardized residual of a simple linear regression model.

## Residual Plot

A tutorial on the residual of a simple linear regression model.