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Learn Linear regression

This video is part 19 of Linear regression tutorials in Statistics. And more focus of this video is put on Linear regression in Statistics. Contents Introduction to linear regression Mean and Variance of Estimators in linear regression Partition of Total Variability and Estimation of s2 Confidence Interval for regression coefficients Hypothesis Testing on the Slope Statistical Inference on the Intercept Coefficient of Determination in regression Prediction with linear regression analyzing regression line by an analysis-of-variance approach Test appropriateness(linearity) of regression model Data transformation in linear regression Correlation, slope coefficient and coeffcient of determination in regression Introducing multiple linear regression Polynomial Regression Estimating linear regression model using matrices Analysis of Variance in Multiple Regression Hypothesis testing of coefficients in multiple Linear regression confidence interval for the mean response in Multiple Linear regression confidence interval for a single response in Multiple Linear regression Choice of multiple regression model with coefficient of determination Test on an Individual Coefficient Test on significance of a subset of the variables Partial F-Tests Regression with categorical explanatory variables Varying slope in regression with Indicator Categories and interaction Stepwise regression explained Detecting outliers using studentized residuals in regression Selecting regression model using PRESS residuals #statistics #distribution #normaldistribution #chisquare #tdistribution #ttest #statistics32