About this Course
Course Description
This MOOC will explain to the learners to the fundamental concepts of correlation and regression analysis. The three basic linear regression models that will be introduced and discussed in this course are the simple linear, multiple linear and polynomial regression model. The use of indicator variables in qualitative data and interaction variables in polynomial regression models will also be elaborated. The basic variables selection methods and statistical tests involved in building the regression models will be demonstrated and elaborated. Statistical package software used for the regression analysis is also introduced and demonstrated to the students. These topics will prepare the learners for the intermediate and advanced regression analysis course.
Course Learning Outcomes
1 ) Explain the fundamental concepts related to the knowledge and skills of regression analysis and model building
2 ) Construct linear regression models and statistical test using statistical packages related to the knowledge and skills of regression analysis and model building
3 ) Assess the processes and statistical testing involved related to the knowledge and skills of regression analysis and model building
Course Details
STATUS : Open DURATION : FLEXIBLE EFFORT : 5 hours per week MODE : 100% Online COURSE LEVEL : Beginner LANGUAGE : English CLUSTER : Science & Technology ( ST )
