An analyst wants to model the relationship between a set of continuous variables in order to predict the value of an output variable based on the values of a set of input variables. Which of the…

A chi-squared test is used to determine if there is a statistically significant association between two categorical variables, not for predicting a continuous output from continuous inputs.

Correlation measures the strength and direction of a linear relationship between two continuous variables, but it does not produce a predictive model or equation like regression does.

Regression analysis is a statistical method specifically designed to model the relationship between a dependent (output) variable and one or more independent (input) variables. It is used to predict the value of the output variable based on the input variables, especially when all variables involved are continuous.

A t-test is used to compare the means of two groups to determine if they are significantly different from each other, not for modeling predictive relationships between multiple continuous variables.