Скачать или смотреть Regression by Least Square Method | How to calculate line of best fit? | X on Y and Y on X Equations

#linearregressionbyleastsquaremethod

This part 2 video is about Regression Analysis by Least Square Method. The link for introduction to Regression , part 1, is given below.


Video shows the solution of Finding the Line of Best Fit using example.


How to state or determine the equation of Line line of best fit.


Video answers the  question of what is the use of equation of Line of Best Fit?


Video demonstrated how to calculate the slope (b1) of X on Y and the slope (b1) of Y on X by Least Square Method 


I have explained how to calculate Correlation Coefficient between X and Y and also interpret the result.


Video answers the question of: 

What is the formula of the slope (b1) of X on Y?

What is the formula of the slope (b1) of Y on X?


What is the formula of the Intercept of X on Y?

What is the formula of the Intercept of Y on X?



Please watch previous videos with the following links:


Regression Analysis | Linear Regression Formula | Lines Regression Equations | Slope & Intercept 

   • Regression Analysis | Linear Regression Fo...  


Concurrent Deviation Method of Correlation Coefficient

   • Concurrent Deviation Correlation Coefficie...  


Spearman's Rank Method ( Tied and Untied) of determining Correlation Coefficient

   • Spearman’s Rank Method (tied and untied Ra...  


Karl Pearson’s "Shortcut Method" of Calculating Correlation Coefficient 

   • Simplified Method of Solving Linear Correl...  


Karl Pearson’s "Direct Method" of Calculating Correlation Coefficient

   • Pearson’s Correlation Coefficient | Produc...  


Paired t-test with μD = 0

   • Paired t-test  


Unpaired t-test 

   • Two Sample Hypothesis Testing: Unpaired t ...  


One Sample Hypothesis Testing: Two-Tailed t test concerning the mean

   • One Sample Hypothesis Testing:  Two-Tailed...  


One Sample Hypothesis Testing: 

(One tailed t test concerning the mean)

   • Hypothesis Testing: One Sample Hypothesis ...