Asked by Robyn Brown on Jun 26, 2024
Verified
______ may be defined as a family of statistical procedures assessing the relationship between two or more predictor variables and a criterion variable.
A) Regression coefficient
B) Linear regression equation
C) Correlation matrix
D) Multiple correlation
Multiple Correlation
A statistical technique that assesses the strength of the relationship between a dependent variable and several independent variables.
Statistical Procedures
Methods used in collecting, analyzing, interpreting, and presenting data.
- Understand the principle of multiple correlation and its application in forecasting a criterion variable using two or more predictor variables.
Verified Answer
VK
vishruth keshireddyJun 29, 2024
Final Answer :
D
Explanation :
Multiple correlation is the statistical procedure that assesses the relationship between multiple predictor variables and a criterion variable. Regression coefficient refers to the slope of the regression line in a simple linear regression. Linear regression equation is the equation that predicts the criterion variable based on one or more predictor variables. Correlation matrix is a table that displays correlation coefficients between multiple variables.
Learning Objectives
- Understand the principle of multiple correlation and its application in forecasting a criterion variable using two or more predictor variables.
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