Browsed by
Month: November 2023

What is hierarchical multiple regression?

What is hierarchical multiple regression?

Comments 5 comments

Hierarchical multiple regression is a statistical method used in regression analysis to explore the relationship between a dependent variable and multiple independent variables while accounting for the influence of different sets of variables in a specific order or hierarchy. The term “hierarchical” indicates that the independent variables are entered into the regression equation in a specific sequence based on theoretical or practical considerations. Here’s a general overview of how hierarchical multiple regression works: Stepwise Entry of Variables: Variables are grouped…

Read More Read More

What is multiple linear regression?

What is multiple linear regression?

Comments 0 Comment

Multiple linear regression is a statistical method used to model the relationship between multiple independent variables and a single dependent variable. In simple linear regression, there is only one independent variable, but in multiple linear regression, there are two or more independent variables. The basic idea behind multiple linear regression is to understand how changes in the independent variables are associated with changes in the dependent variable while controlling for the effects of other variables. The relationship is expressed through…

Read More Read More

What is logistic regression?

What is logistic regression?

Comments 0 Comment

Logistic regression is a statistical method used for binary classification, a type of supervised learning. In binary classification, the goal is to predict the outcome of a categorical dependent variable that has two possible outcomes, usually coded as 0 and 1. For example, it can be used to predict whether an email is spam (1) or not spam (0), whether a student will pass (1) or fail (0) an exam, etc. Despite its name, logistic regression is used for classification,…

Read More Read More

What is a correlation coefficient and how do I use it?

What is a correlation coefficient and how do I use it?

Comments 0 Comment

A correlation coefficient is a statistical measure that quantifies the degree to which two variables are related or move together. In other words, it assesses the strength and direction of a linear relationship between two variables. The correlation coefficient is denoted by the symbol r. The value of the correlation coefficient r ranges from -1 to 1: r=1 indicates a perfect positive correlation, meaning that as one variable increases, the other variable also increases proportionally. r=−1 indicates a perfect negative…

Read More Read More

What is Linear Regression?

What is Linear Regression?

Comments 0 Comment

What is Linear Regression? Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables by fitting a linear equation to the observed data. The simplest form of linear regression involves two variables, with one being the predictor variable (independent variable) and the other being the response variable (dependent variable). The goal is to find the best-fitting linear relationship that can be used to make predictions about the response variable…

Read More Read More