# How to Avoid the Standard Mistakes in Regression Analysis

## Best of problems in Regression Analysis especially handpicked for you.

## If you are a student of ISC Mathematics in Class 12, this post will benefit you greatly. Even if you are not in Class 12, but a student of Mathematics, you would definitely benefit by learning from this post. Also, do share this post with Mathematics students of Class 12.

## I am a Math educator and my Science students in Class 12 prefer this topic of Regression Analysis in comparison with Vectors and 3 Dimensional Geometry. This post gives you a gist of Regression Analysis covering all the types of problems needed for Class 12.

## The statistical methods which help you to determine the value of 1 variable given the other variable is called **Regression.**

## The course starts with teaching you **the difference between dependent and independent variable.**

Basic Formulas in Regression Analysis

## You are introduced to the **2 regression coefficients.** You will realise that the regression coefficient of x on y is the slope of the regression line of x on y and the regression coefficient of y on x is the slope of the regression line of y on x.

## The relationships between the **regression and correlation coefficients is also explained. **

Note This important tip in Regression Analysis

## You will learn the **relationship between regression coefficients and standard deviations.**

## Another important point for you to remember is that the **means **of the 2 variables are obtained by solving the 2 regression equations simultaneously.

## The first lesson gives you the overview of all these and teaches you to **predict the value of 1 variable given the other.**

## The **basic formulas of regression coefficients** given correlated values of x and y are taught to you here.

## Given 2 lines of regression, you will learn the techniques of **identifying the lines of regression.**

**Learn** this simple problem on Regression

The 2 lines of Regression intersect at the means

## The next lesson richly enforces the previous lesson with a wide plethora of problems for you.

## Problems pertaining to **fitting a straight line to the data or determining the least square line of regression of y on x** are also explained to you.

**What happens if the values of x and y are very large? Then we take an assumed mean for x and y and proceed.**

Calculating Regression coefficients with assumed means