Objectives:
This course introduces the regression methods for analyzing data in regression. This course emphasizes both the theoretical and the practical aspects of statistical analysis, focusing on techniques for estimating regression models of various kinds.
Learning Outcomes:
The goal is to help the students to develop a solid theoretical background in the regression analysis and helps in predicting and forecasting the results, also they are familiar about how one thing depends on the other.
Recommended Books:
1. Chaudhry, S. M and Kamal. S. (1980). Introduction to statistical theory. Part III. IlmiKithabKhana.
2. Clark, G. M. and Kempson, R. E. (1997), “Introduction to the Design & Analysis of Experiment” Arnold London.
Week 
Topics and Reading. 
Books with Page No. 
1 
Introduction to Regression with some basic concepts. 
Introduction to statistical theory. 1 
2 
Concepts of Regression and Correlation. 
Introduction to statistical theory. 1 
3 
Simple Linear regression with different real life examples and numerical question. 
Introduction to statistical theory. 1 
4 
Inference regarding regression parameters. 
Introduction to statistical theory. 2 
5 
Coefficient of determination and its derivation. 
Introduction to statistical theory. 1 
6 
OneWay and TwoWay Analysis of Variance. 
Introduction to statistical theory. 2 
7 
Design of Experiments, Basic Principles of Design of Experiments 
Introduction to statistical theory. 2 
8 
Description, Layout and Analysis of Completely Randomized Design. 
Introduction to statistical theory. (2 
9 
Numerical questions of completely randomized design and their real life examples. 
Introduction to statistical theory. 2 
10 
Randomized Complete Block Design 
Introduction to statistical theory. 2 
11 
Numerical questions of RCBD 
Introduction to statistical theory. 2 
12 
Latin Square Design 
Introduction to statistical theory. 2 
13 
Numerical Questions of Latin Square Design

Introduction to statistical theory. 2 
14 
Multiple Comparisons (LSD and Duncan’s test) 
Introduction to statistical theory. 2 
15 
Introduction to NonParametric Statistical Methods 
Introduction to statistical theory 2 
16 
Reviion 
I 
Assessment Criteria:
Exam:Mid(30%),Final(50%),
Sessional(20%):Assignment,Presentations,Class Participation,Quizzes
Time Table: BS Regualr
Monday(11:00 AM to 12:00 PM),
Tuesday(9:00 A.M to 10:00 A.M)
Friday (10:00 A.M to 11:00 A.M)
BSSelf
Monday(12:30 PM to 1:30 PM),
Tuesday( 03:00 PM to 04:00 PM)
Wednesday (03:00 PM to 04:00 PM)