Predictive Statistics Test
An important step in determining the appropriate statistical test procedure is to know the type of variable we are observing. What is the independent variable and the dependent variable? After the variable is determined, then determine how to measure the variable (variable measurement scale)? If we already know/determine this, it will be easy for you to determine the appropriate statistical test procedure.
What is the Dependent Variable Measurement Scale?
- 2 categories
- Statistical Test: → Binomial Logistic Regression
- >= 3 categories
- Statistical Test: → Multinomial Logistic Regression
- 2 categories
- Statistical Test: → Binomial Logistic Regression
- >= 3 categories
- Statistical Test: → Ordinal Logistic Regression
- Linear
- Normal
- Homogeneous Population Variety
- Test Statistics: → Linear Regression
- heterogeneous population variety
- Test Statistics: → Weighted Linear Regression (weighted Linear Regression)
- Don't know
- Test Statistics: → Linear Regression
- Furthermore, the assumption of normality and homogeneity of variance must be tested using the residual plot:
- The error should spread normally
- Homogeneity test of variance: → distribution of response variance is evenly distributed on each X
- Homogeneous Population Variety
- Other
- Test Statistics: → None match
- Don't know
- Test Statistics: → Linear Regression
- Furthermore, the assumption of normality and homogeneity of variance must be tested using the residual plot:
- The error should spread normally
- Homogeneity test of variance: → distribution of response variance is evenly distributed on each X
- Normal
- Other
- Statistical Test: → Polynomial Regression or other non-linear Regression such as Log, Exponential, or Power.
