Introductory regression analysis : with computer application for business and economics / Webster

Setting the statistical scene -- Exploratory data analysis -- Foundations of statistical inference

means -- Comparisons involving proportions -- Basics of regression analysis -- More on regression

-- 9. Design of experiments and analysis of variance -- 10. Categorical data analysis -- 11. Simple

. Multiple Regression -- 16. Regression Analysis: Model Building -- 17. Time Series Analysis and Forecasting

distributions -- Drawing conclusions from samples -- More advanced techniques: regression analysis and

regression analysis -- Overview -- Learning objectives -- 8.1.Linear correlation analysis -- 8.1.1.Scatter

Setting the statistical scene -- Exploratory data analysis -- Foundations of statistical inference

-sample tests of hypothesis -- Two-sample tests of hypothesis -- Analysis of variance -- Linear regression and

texts and provides students with the knowledge they need to become stronger analysts for future

. Fundamentals of hypothesis testing: one-sample tests -- 10. Two-sample tests 11. Analysis of variance -- 12

analysis -- Index numbers -- Time series analysis -- Non-parametric testing -- Elementary interest