Discover how linear regression works, from simple to multiple linear regression, with step-by-step examples, graphs and real-world applications.

Further statistics in dentistry: In order to introduce the concepts underlying multiple linear regression, it is necessary to be familiar with and understand the basic theory of simple linear ...

This paper extends the single equation regression model with the truncated dependent variable considered by Tobin [10] and Amemiya [1] to multivariate and simultaneous equation models and proposes a ...

The regression line is used as a point of analysis when attempting to determine the correlation between one independent variable and one dependent variable.

A formula is derived for determining the number of observations necessary to test the equality of two survival distributions when concomitant information is incorporated. This formula should be useful ...

Ordinary regression analysis is based on several statistical assumptions. One key assumption is that the errors are independent of each other. However, with time series data, the ordinary regression ...