Course Content
Notes & Study Materials
0/5
Course Introduction & Syllabus
Simple Linear Regression Model Chapter Notes
Multiple Regressions Model
Curvilinear Regression Model Chapter Notes
Old is Gold (2080)
Practical PDF
Simple Linear Regression Model
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Introdcution of Simple Linear Regressin Model
01:21:39
Assumption of Linear Regressin Model
26:27
Problems in Regression Analysis and Properties of Regression Line
46:46
Properties of WI
44:46
Gauss Markov Theorem
01:11:56
Maximum Likelyhood Estimation
55:41
Class 8
55:29
Defination of Confidence Interval (CI)
07:50
Distribution of Beta one Cap
23:33
Modal Adequacy Test
49:42
Regression Through Origin
56:04
Prediction of Response Variable (Mean Prediction)
35:18
Independence of Errors
42:56
Chapter Notes
Multiple Regression Model
0/9
multiple regression model introduction
32:14
properties of OLS
01:00:48
Varience & Standard Error of OLS Estimator & MLE
01:15:01
Difference between Unadjusted R square & adjusted R square & P P Plot
43:16
P P Plot Continue + Lack of Fit Error
36:13
Outliers & Auto Correlation
50:04
Auto Correlation Continue, D W Test
49:59
Multi Collinearity
54:46
Chapter Notes
Curvilinear Regression Model
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curvilinear R Model Introduction
01:06:15
Curvilinear Continued
34:53
polynomial model and s curve
39:46
Logistic Regression
59:23
Logistic Regression Continued
01:03:05
Chapter Notes
Categorical Variable
0/2
Dummy Variable
59:48
Dummy Variable Continued + Dummy Traping
31:00
Practical Help Videos
0/1
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Statistical Modeling BSc 4th Year Statistics – Full Course & Free Notes
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