Linear regression is a statistical technique used to describe a variable as a function of one or more predictor variables. Learn more with videos and examples.
Linear regression is linear in that it guides the development of a function or model that fits a straight line -- called a linear regression line -- to a graph of the data. This line also minimizes the difference between a predicted value for the dependent variable given the corresponding in...
What is Linear Regression? Linear regression is used to predict the relationship between two variables by applying a linear equation to observed data. There are two types of variable, one variable is called an independent variable, and the other is a dependent variable. Linear regression is common...
To Reference this Page:Statistics Solutions. (2025). What is Linear Regression . Retrieved fromhere. Related Pages: Assumptions of a Linear Regression Take the course:Linear Regression Step Boldly to Completing your Research If you’re like others, you’ve invested a lot of time and money devel...
Linear regression is a simple tool to study the mathematical relationship between two variables. Here’s how to try it for yourself.
What is linear regression? Linear regression analysis is used to predict the value of a variable based on the value of another variable. The variable you want to predict is called the dependent variable. The variable you are using to predict the other variable's value is called the independent...
A multiple linear regression model isyi=β0+β1Xi1+β2Xi2+⋯+βpXip+εi, i=1,⋯,n, wheren is the number of observations. yi is the ith response. βk is the kth coefficient, where β0 is the constant term in the model. Sometimes, design matrices might include information ab...
Linear regression is an important tool in analytics. The technique uses statistical calculations to plot a trend line in a set of data points. The trend line could be anything from the number of people diagnosed with skin cancer to the financial performance of a company. Linear regression shows...
As mentioned above, linear regression is a predictive modeling technique. It is used whenever there is a linear relation between the dependentand independent variables. Y = b0+ b1* x It isused to estimate exactlyhow much of y will change when x changes a certain amount. ...
What is Regression?: Regression is a statistical technique used to analyze the data by maintaining a relation between the dependent and independent variables.