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Category: Regression Analysis

Estimation of Best Fitting Line

Posted on April 6, 2020April 22, 2020 By admin No Comments on Estimation of Best Fitting Line
Estimation of Best Fitting Line

Estimation of model parameters is an essential part in regression analysis. We do that by using the Ordinary Least Squares method

Regression Analysis

Multiple Linear Regression Analysis with Categorical Predictors

Posted on March 26, 2020April 23, 2020 By admin No Comments on Multiple Linear Regression Analysis with Categorical Predictors
Multiple Linear Regression Analysis with Categorical Predictors

Multiple Linear Regression Analysis with Categorical Predictors is done using Indicator Variables. We have to clearly analyze all possible models and select the best fitting model.

Regression Analysis

What are dummy variables in regression?

Posted on March 25, 2020April 23, 2020 By admin No Comments on What are dummy variables in regression?
What are dummy variables in regression?

We use indicator variables when we have categorical variables in the Regression Equation. They are also known as Dummy Variables.

Regression Analysis

Multiple Linear Regression Example

Posted on March 24, 2020April 28, 2020 By admin No Comments on Multiple Linear Regression Example
Multiple Linear Regression Example

Multiple Linear Regression helps us to make predictions using two or more predictor variables. Concept of Multicollinearity is also very important in Regression Analysis.

Regression Analysis

Linear Regression in MS Excel

Posted on March 22, 2020April 19, 2020 By admin No Comments on Linear Regression in MS Excel
Linear Regression in MS Excel

Linear regression is a way of modeling variables to make predictions. Here we discuss how can we do a simple linear regression analysis using Microsoft Excel.

Regression Analysis, Statistics

Simple Linear Regression

Posted on March 13, 2020May 17, 2020 By admin No Comments on Simple Linear Regression
Simple Linear Regression

Simple Linear Regression is used to model the relationship between one predictor variable and one response variable. This is called ‘linear because the said relationship can be expressed in the form of the equation ‘y = mx + x”. And it is called ‘Simple’ because only one Predictor Variable is involved.

Regression Analysis, Statistics

Regression Analysis – Introduction

Posted on March 12, 2020April 19, 2020 By admin No Comments on Regression Analysis – Introduction

What is Regression Analysis? Regression Analysis is a Statistical Technique used to investigate and model the relationship between variables. It helps to identify trends associated with data and quantify them. In regression analysis, there are 2 main types of variables. Predictor Variable (Independent Variable) and Dependent Variable (Response Variable). For example, let’s say we use…

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Regression Analysis, Statistics

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