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Statistics                                                    Sachin Kaushal, Lovely Professional University



                      Notes                            Unit 23: Regression Analysis




                                       CONTENTS

                                       Objectives
                                       Introduction
                                       23.1 Two Lines of Regression
                                           23.1.1 Line of Regression of Y on X

                                           23.1.2 Line of Regression of X on Y
                                           23.1.3 Correlation Coefficient and the two Regression Coefficients
                                       23.2 Regression Coefficient in a Bivariate Frequency Distribution
                                       23.3 The Coefficient of Determination

                                           23.3.1 The Coefficient of Non-Determination
                                       23.4 Mean of the Estimated Values
                                       23.5 Mean and Variance of 'ei' values
                                           23.5.1 Standard Error of the Estimate

                                       23.6 Summary of Formulae
                                       23.7 Keywords
                                       23.8 Self Assessment
                                       23.9 Review Questions

                                       23.10 Further Readings



                                    Objectives

                                    After studying this unit, you will be able to:

                                        Define Two Lines of Regression
                                        Explain Regression Coefficient in a Bivariate Frequency Distribution
                                        Discuss The Coefficient of Determination
                                        Describe Mean of the Estimated Values

                                        Explain Mean and Variance of 'ei' values
















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