When you try to predict the value of an outcome variable from one or more variables, you are likely to be using:
A. The Pearson product-moment correlation
B. Bivariate regression
C. Multivariate regression
D. Analysis of variance
Choose the correct answer from the options given below:

Correct option is B

When predicting the value of an outcome variable from one or more predictor variables, the most appropriate techniques are bivariate regression (B) and multivariate regression (C):
· Bivariate regression (B): This method is used when there is one predictor variable and one outcome variable. It predicts the outcome by analyzing the linear relationship between the two variables.
· Multivariate regression (C): This technique is employed when there are multiple predictor variables. It helps in understanding how multiple factors contribute to the prediction of the outcome variable.
Information Booster:
· Bivariate regression is used for predicting a dependent variable from a single independent variable.
· Multivariate regression allows predictions based on multiple independent variables, offering a more comprehensive analysis.
· These regression techniques are key tools in statistical modeling and prediction.
· Regression analysis is widely used in various fields, including economics, psychology, and business.
Additional Information:
· Pearson product-moment correlation (A): Measures the linear relationship between two continuous variables but does not involve prediction.
· Analysis of variance (ANOVA) (D): Compares the means of two or more groups to assess if they are significantly different, primarily used in hypothesis testing, not prediction.