In this lesson, we are going to be talking about regressions. First we want to set up a conceptual understanding of regressions before we actually learn to calculate them. We are going to do just a brief review of linear equations and talk about the regressions as the center of line. Then we will mention reasons for summarizing with a regression line and see what predictor and response variables are. We will also detect what is the goal of regression. Further, we are going to talk about prediction and error. Using some examples, we will explain interpolation, extrapolation and residual.
Lecture Slides are screen-captured images of important points in the lecture. Students can download and print out these lecture slide images to do practice problems as well as take notes while watching the lecture.
This book provides a clear and methodical approach to essential statistical procedures. It clearly explains the basic concepts and procedures of descriptive and inferential statistical analysis. This book features a new emphasis on expressions involving sums of squares and degrees of freedom as well as a stronger stress on the importance of variability.