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CONCEPTS AND EXAMPLES OF RESEARCH
2 CLASSIFICATION OF VARIABLES AND THE CHOICE OF ANALYSIS
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ANOVA table appropriate associated assumptions blood pressure cell means Chapter chi-square CN CN collinearity column confidence interval considered correlation covariance data set degrees of freedom denote described determine discriminant analysis discussed distribution dummy variables equation error example F statistic F test factor analysis factor loadings Female fixed-effects given independent variables interaction effect intercept involving iri iri iri K'l K'l Kleinbaum likelihood function linear main effect males matrix measure method multiple regression null hypothesis observed obtained one-way ANOVA orthogonal orthogonal polynomial overall P-value parameters partial F Poisson Poisson regression polynomial population predicted predictors problem procedures random variable randomized-blocks regression analysis regression coefficients regression model relationship rotation scores significant Source df SS specified straight-line regression sum of squares test statistic treatment two-way ANOVA variance weight