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

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

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

: 25. Time-series analysis and forecasting -- 26. Index numbers -- 27. Decision analysis: Online

multiple regression -- 15. Multiple regression model building -- 16. Time-series forecasting -- 17

intervals -- Hypothesis testing -- Analysis of variance -- Chi-square tests -- Regression and correlation

& Correlation Analysis -- Index Numbers: Measuring Business Activity -- Time Series Analysis: A Forecasting Tool

tables and graphs -- Descriptive measures -- Index numbers -- Regression and correlation analysis -- Time

experimental design -- Simple linear regression -- Multiple regression -- Regression analysis: model building

Linear Regression and Correlation -- Ch. 14. Multiple Regression Models -- Ch. 15. Time-Series Analysis

probability -- The normal distribution -- Correlation -- Regression analysis -- Index numbers -- Time series

relationships between variables : regression (pt.1) -- 11. Model building and model diagnostics : regression (pt

-- Hypothesis testing -- the chi-square statistic -- Index numbers -- Regression and correlation analysis

and correlation analysis -- P.14 Introduction to multiple regression -- P.15 Contingency tables and