###### Mathematics  Linear Regression Analysis and Forecasting
 List Lectures   [ 1 ]  2  3
 # Lecture Name 1 Lecture 01 ' Basic Fundamental Concepts Of Modelling. 2 Lecture 02 ' Regression Model ' A Statistical Tool 3 Lecture 03 ' Simple Linear Regression Analysis 4 Lecture 04 ' Estimation Of Parameters In Simple Linear Regression Model 5 Lecture 05 ' Estimation Of Parameters In Simple Linear Regression Model (continued) : Some Nice Properties 6 Lecture 06 ' Estimation Of Parameters In Simple Linear Regression Model (continued) 7 Lecture 07 ' Maximum Likelihood Estimation of Parameters in Simple Linear Regression Model 8 Lecture 08 ' Testing of Hypotheis and Confidence Interval Estimation in Simple Linear Regression Model 9 Lecture 09 ' Testing of Hypotheis and Confidence Interval Estimation in Simple Linear Regression Model (continued) 10 Lecture 10 ' Software Implementation in Simple Linear Regression Model using MINITAB

 Title: Linear Regression Analysis and Forecasting Department: Mathematics Author: Prof. Shalabh University: IIT Kanpur Type: WebLink Abstract: Forecasting is an important aspect of any experimental study. The forecasting can be done by finding the model between the input and output variables. The tools of linear regression analysis help in finding out a statistical model between input variables and output variable which in turn provides forecasting. For example, the yield of a crop depends upon the area of crop, quantity of seeds, rainfall etc. The statistical relation between yield and area of crop, quantity of seeds, rainfall etc. can be determined by the regression analysis and forecasting can be done to know the yield in future. The accuracy of forecasting depends upon the goodness of obtained model. What are its steps and checks required to obtain a good model and in turn, how to do forecasting is being aimed to be taught in this course.