Fergana politechnic institute faculty of mechanical engineering group of e18-21 student tulashev otabek higher mathematics presentation project

FERGANA POLITECHNIC INSTITUTE FACULTY OF MECHANICAL ENGINEERING GROUP OF E18-21 STUDENT TULASHEV OTABEK HIGHER MATHEMATICS PRESENTATION PROJECT Executed by: tulashev Acepted by: Sodikkhujaeva Sh

Fergana 2022

TOPIC: Evaluation of interdependence of variables. Value of the regression equation in multivariate regression

Introduction to Multivariate Regression

• In today's world, information is everywhere and it can be different. Data analysis is the application of statistical and logical methods to describe and visualize, reduce, revise, summarize, and evaluate data to provide a better context for that data.

univariate linear regression

• Simple linear regression is a regression model that estimates the relationship between a dependent variable and an independent variable using a straight line.

Y = ax + b

Multivariate linear regression

Multivariate linear regression

• Multivariate regression is an extension of multiple regression with one dependent variable and multiple independent variables. We try to predict the output based on the number of independent variables.

Y = ax+bz+d or Y =ax+bz+…

Regression analysis is an important statistical technique that allows you to examine the relationship between two or more variables in a set of data.Regression analysis answers these questions:

• Ma’lumotlarning qaysi birini e'tiborsiz qoldirish mumkin? Ular bir-biri bilan qanday aloqada?
• * Berilgan ma’lumotlar qanchalik ishonchli?

Univariate linear regression

Univariate linear regression

Simple linear regression is a regression model that estimates the relationship between a dependent variable and an independent variable using a straight line.

Y = ax + b