Final answer:
When assessing a factor predictor variable in univariate analysis, you need to examine independence, draw a scatter plot, use regression analysis, interpret the correlation coefficient, and determine linearity.
Step-by-step explanation:
In univariate analysis, when assessing a Factor predictor variable, there are several things to examine:
- Independence: You can use the test for independence to determine whether the factor predictor variable is independent or dependent on the other variables. This involves constructing a contingency table and testing the null and alternative hypotheses.
- Scatter plot: You can draw a scatter plot to visualize the relationship between the factor predictor variable and the outcome variable.
- Regression analysis: You can use regression analysis to find the line of best fit and the correlation coefficient.
- Interpretation of the correlation coefficient: The correlation coefficient indicates the strength and direction of the linear relationship between the factor predictor variable and the outcome variable. A significant correlation coefficient suggests a strong relationship.
- Linearity: You can determine if there is a linear relationship between the factor predictor variable and the outcome variable.