22. ans-. True
23. ans-> False
since t test is efficient for comparing two quantitative variables, if there are more than 2 quantitative variables present, ANOVA will be more appropriate.
24. ans-> True
25. ans-> False
as discriminant analysis and logistic regression are used for classification purpose.
22. Questions that address structure usually distinguish between independent and dependent variables O 2017 Taylor &...
Discriminant analysis seeks to identify which combination of quantitative IVs best predicts group membership by a single DV that has two or more categories. T F In binary logistic regression, the DV is a dichotomous variable. T F Factor analysis and principal components analysis are different techniques, but they are very similar. T F Factor analysis allows the researcher to explore the underlying structures of an instrument or data set and is often used to develop and test a theory....
Factorial analysis of variance (factorial ANOVA) extends ANOVA to research scenarios with two or more IVs that are categorical. True or False Factorial analysis of variance (factorial ANCOVA) examines group differences in a single quantitative dependent variable based upon two or more categorical independent variables, while controlling for a covariate that may influence the DV. True or False One-way multivariate analysis of variance (MANOVA) is utilized to simultaneously study two or more related IVs, while controlling for the correlations among...
Factorial analysis of variance (factorial ANOVA) extends ANOVA to research scenarios with two or more IVs that are categorical. True or False Factorial analysis of variance (factorial ANCOVA) examines group differences in a single quantitative dependent variable based upon two or more categorical independent variables, while controlling for a covariate that may influence the DV. True or False One-way multivariate analysis of variance (MANOVA) is utilized to simultaneously study two or more related IVs, while controlling for the correlations among...
1. Factorial analysis of variance (factorial ANOVA) extends ANOVA to research scenarios with two or more IVs that are categorical. True or False 2. Factorial analysis of variance (factorial ANCOVA) examines group differences in a single quantitative dependent variable based upon two or more categorical independent variables, while controlling for a covariate that may influence the DV. True or False 3. One-way multivariate analysis of variance (MANOVA) is utilized to simultaneously study two or more related IVs, while controlling for...
The primary factor that determines the statistical test students should use is the number of independent and dependent variables. True or False When investigating the relationship between two or more quantitative variables, chi-square is the appropriate test.True or False The Pearson correlation coefficient measures the association between two quantitative variables, distinguishing between the independent and dependent variables.True or False Multiple regression is used when there are several dependent variables and one independent quantitative variable.True or False When testing for the...
5. Summary of regression between a dependent variable y and two independent variables X, and x2 is as follows. Please complete the table: SUMMARY OUTPUT Regression Statistics Multiple R 0.9620 R Square R2E? Adjusted R Square 0.9043 Standard Error 12.7096 Observations 10 ANOVA F Significance F F=? Overall p-value=? Regression Residual Total 2 df of SSE MS MSR=? MSE? 14052.1550 1130.7450 SSTE? MSE? 9 Coefficients -18.3683 Standard Error 17.9715 t Stat -1.0221 Intercept ty=? 2.0102 4.7378 0.2471 0.9484 P-value 0.3408...