Simple Linear Regression Analysis Differs from Multiple Regression Analysis in That

question 65

Multiple Choice

Simple linear regression analysis differs from multiple regression analysis in that:

• A)Simple linear regression uses only one explanatory variable.
• B)The coefficient of correlation is meaningless in simple linear regression.
• C)Goodness-of-fit measures cannot be calculated with simple linear regression.
• D)The coefficient of determination is always higher in simple linear regression.

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Definitions:

Evaluation Methods

Techniques and processes used to determine the effectiveness, value, or impact of an activity, program, or policy.

Effectiveness

Effectiveness is the degree to which something achieves its intended outcome or results in a successful, desired effect.

Developing Group

The process of forming and establishing a group with common goals or interests.

Observational Measures

are methods of assessing behavior or phenomena as they naturally occur without manipulation or intervention by the observer.