Multiple linear regression is a statistical technique that allows you to explore the relationship between a continuous dependent variable and two or more independent variables.

A detailed exploration and analysis of a dataset containing SAT and GPA scores to understand the relationship between these two variables. The goal is to apply simple linear regression, handle ...

We derive a method of obtaining approximate numerical solution of linear variable-coefficient partial differential equations (PDEs) with two independent variables from Kida's optimum approximation ...

Longitudinal data is essentially different from independent data due to its special structure. Many excellent research results have been produced based on partial linear models and variable ...

In this project, I have learnt on how to predict house prices with multiple variables using linear regression model. I have attached the code and dataset in this repository for references. This ...

When multiple variables are associated with a response, the interpretation of a prediction equation is seldom simple.

Michael P. Jones, Indicator and Stratification Methods for Missing Explanatory Variables in Multiple Linear Regression, Journal of the American Statistical Association, Vol. 91, No. 433 (Mar., 1996), ...

Based on a statistic proposed by Cook (1977) for the detection of influential observations, we propose a measure for the influence of variables in linear-regression models, and we introduce the ...

Pair of Linear Equations in Two Variables Class 10 Notes: Get here CBSE Class 10 Mathematics Full and Short Notes for Chapter 2 for upcoming Board exam revision.