Biostatistics: Correlation and Linear Regression, Part 1, Interesting Video in Amharic Speech

Biostatistics: correlation and linear regression, part 1,is lectured using Amharic language speech with detailed explanations. This video lectures the details of correlation and linear regression, correlation, linear regression, Pearson correlation coefficient, rank correlation coefficient, scatter plots, correlation coefficient,population correlation coefficient ρ (rho), sample correlation coefficient, r, estimation of correlation coefficient, perfect inverse correlation, no linear correlation, perfect direct correlation,features of ρ and r, calculating the correlation coefficient, SPSS correlation output, hypothesis testing, steps in correlation analysis, limitation of correlation coefficient, rank correlation coefficient, two paired samples of ranked data, linear regression, dependent/ outcome variable, independent variables, simple linear regression, regression analysis, simple linear regression model, linear function, α intercept, β slope, fitting linear regression line, estimating the regression coefficients, method of least squares, least squares criterion and equation, interpretation of the slope and the intercept, steps in regression analysis, linear regression analysis in SPSS, explained and unexplained variation, coefficient of determination, R2, inference about the slope: f-test & t-test, CI estimation, graphical display of simple linear regression, residual analysis and R-square, how good is the linear model, P-values and significance levels,linear regression assumptions/ model diagnostics, linear relationship, normality, independent observations, equality of variance, fixed independent variables, no outlier distortion, no multicollinearity, representative sample and proper specification of the model (no omitted variables), multiple linear regression, multiple linear regression model, tests on individual regression coefficients, interpretation of linear regression on SPSS and STATA outputs, measures of model adequacy, standardized residuals, studentized residuals, analysis of residuals, model diagnostic tests, normal plot of residuals, histogram, stem and leaf plot, multi-collinearity, variance inflation factors (VIF),multiple R2, adjusted R-square, data transformation, examples of multiple linear regressionanalysis in SPSS and STATA,choice of the number of variables, selection of variables in multiple regression, criteria for model selection (AIC, BIC), automatic selection procedures, stepwise regression, forward selection, backward selection,SPSS results, STATA results, and sound research article examples for all mentioned components. Unit 1: Introduction to biostatistics, Unit 2: Descriptive statistics, Unit 3: Demography and health service statistics, Unit 4: Probability and probability distributions, Unit 5: Sampling methods and sample size determination, Unit 6: Statistical inference / Estimation and hypothesis testing, Unit 7: Analysis of variance (ANOVA), Unit 8: Regression and correlation, Unit 9: Categorical data analysis, Unit 10: Survival data analysis, Unit 11: Count data analysis, and Unit 12: Introduction to Software (SPSS, STATA, Epi Info, R, etc.). #linearregression #correlation #Pearsoncorrelationcoefficient#scatterplots #ftest #ttest #simplelinearregression #multiplelinearregression #linearhypothesistests #linearestimation #CI #confidenceinterval#biostatistics #statistics #research #linearmodel #linearassumption #stata #adjustedR-square#R2statistic #vif #software #p-values #researcharticle #modeldiagnostictests #spss #rsoftware#healthacademics #healthtube #health #analysis #amharic #amharictutorial #ethiopia #ethiopian #ethiopiannews, #ethiopianlectures #ethiopiantutor #ethiopiandoctors #healthacademics #healthtube|የጤናቲዉብ #healthtube #amazing #disease #health #research Other videos 74. 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