一、拟合优度检验 二、方程显著性检验 三、变量显著性检验

一、拟合优度检验 二、方程的显著性检验(F检验) 三、变量的显著性检验（t检验） 四、参数的置信区间

一、拟合优度检验 二、方程显著性检验 三、变量显著性检验

Univariate versus Multivariate Analysis Univariate analysis Solely interested in an isolated characteristic of a set of objects, irrespective of other variable characteristics possessed by the objects Examples the study of the achievement test scores of students X the salaries of workers

Presentation Outline本章要点 What is cluster analysis? Similarities measures Hierarchical cluster analysis Centroid method -Single linkage

对应分析的重点 1、什么是对应分析? 2、理解对应分析的基本思想 3、对应分析的基本步骤 4、结合SPSS软件进行案例分析

Presentation Outline 1. What is discriminant analysis? 2 Two populations discriminant analysis 3, More than two populations discriminant analysis -distance discriminant analysis -Bayes discriminant analysis -Fisher discriminant analysis -variable selection discriminant analysis (forward discriminant analysis) (backward discriminant analysis) (stepwise discriminant analysis)

Presentation outline What is pCa? Geometrical approach to pca Analytical approach to PCa Properties of PCa how to determine the number of pc? How to interpret the pc? Use of pc scores

中南大学：《应用统计》PPT电子教案_多元线性回归

• 一、单变量的描述 – 集中量，离散量，分布形态，分布图(图编辑) • 二、双变量的基本描述——相关