Final answer:
The correct answer is option A. Logistic regression is a statistical method used to predict a binary outcome variable based on one or more independent variables. However, it does not determine variance explained by independent variables, rank their relative importance, or assess the impact of covariate control variables.
Step-by-step explanation:
Logistic regression is a statistical method used to predict a binary outcome variable based on one or more independent variables. It is commonly used in various fields, such as medical research, economics, and social sciences.
However, logistic regression does not determine the variance in the dependent variable explained by the independent variables. This is a task typically performed by other statistical techniques, such as analysis of variance (ANOVA) or coefficient of determination (R-squared).
Additionally, logistic regression does not rank the relative importance of independent variables. To assess the importance of independent variables, other techniques like decision trees or random forests can be used.
Lastly, logistic regression does not specifically assess the impact of covariate control variables. Controlling for covariates is relevant in regression analysis to better understand the relationship between independent and dependent variables.