Chapter_14_Exam_Review

# Chapter_14_Exam_Review - ID A MAP/Econ 276 Chapter 14 Exam...

This preview shows pages 1–3. Sign up to view the full content.

ID: A 1 MAP/Econ 276 Chapter 14 Exam Review Multiple Choice Identify the letter of the choice that best completes the statement or answers the question. 1. CONCEPTS a. xx b. xx 2. Regression analysis is a statistical procedure for developing a mathematical equation that describes how a. one independent and one or more dependent variables are related b. several independent and several dependent variables are related c. one dependent and one or more independent variables are related d. None of these answers is correct. 3. In regression analysis, the variable that is being predicted is the a. dependent variable b. independent variable c. intervening variable d. None of these answers is correct. 4. In a regression analysis, the variable that is being predicted a. must have the same units as the variable doing the predicting b. is the independent variable c. is the dependent variable d. usually is denoted by x 5. In regression analysis, the independent variable is a. used to predict other independent variables b. used to predict the dependent variable c. called the intervening variable d. None of these answers is correct. 6. The equation that describes how the dependent variable ( y ) is related to the independent variable ( x ) is called a. the correlation model b. the regression model c. correlation analysis d. None of these answers is correct. 7. In a simple regression analysis (where y is a dependent and x an independent variable), if the y intercept is positive, then a. there is a positive correlation between x and y b. there is a negative correlation between x and y c. if x is increased, y must also increase d. None of these answers is correct.

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
Chapter 14 Exam Review ID: A 2 8. A procedure used for finding the equation of a straight line that provides the best approximation for the relationship between the independent and dependent variables is the a. correlation analysis b. mean squares method c. least squares method d. most squares method 9. ASSUMPTIONS OF REGRESSION a. xx b. xx 10.
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

### Page1 / 9

Chapter_14_Exam_Review - ID A MAP/Econ 276 Chapter 14 Exam...

This preview shows document pages 1 - 3. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online