When you try to predict the value of an outcome variable from one or more variables, you are likely using which of the following? Choose the correct answer from the options given below.

Predicting an outcome variable from one or more variables uses regression, so bivariate and multivariate regression are correct.

Bivariate regression predicts an outcome from a single predictor variable.

Multivariate regression predicts an outcome from several predictors together.

The Pearson product-moment correlation only measures association, it does not predict values.

Analysis of variance compares group means rather than predicting a continuous outcome.

Regression yields an equation whose coefficients quantify each predictor's effect.