Statistical inference draws conclusions about a population [i.e., probability density function(DF)] from random sample that has supposedly been drawn from that population

Multiple Regression Model: A regression model with more than one explanatory variable, multiple because multiple nfluences (i.e., variables)affect the dependent variable

11.1 The Nature of Heteroscedasticity Homoscedasticity: equal variance. Heteroscedasticity: unequal variance. Heteroscedasticity is usually found in cross-sectional data

One CLRM assumption is: The model used in empirical analysis is \correctly specified\

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第一节 货币资金审计概述 第二节 内部控制测试 第三节 库存现金审计 第四节 银行存款审计 第五节 其他货币资金的实质性测试

了解课程的性质和在课程体系中的地位； 了解课程完整的内容体系和将要讲授的内容； 了解课程的重点和难点； 了解课程的学习方法

Dummy variables (also indicator variables; binary variables categorical variables; dichotomous variables.) Qualitative variables in regression model For example: sex, race, color, religion, nationalit y, marital status, etc

The Object of Hypothesis Testing To answer- How \good\ is the estimated regression line. How can we be sure that the estimated regression function (i.e., the SRF) is in fact a good estimator of the true PRF?

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