1. _____ is the steepness of the regression line and a measure of the change in the dependent variable produced by a one-unit increase in an independent variable.
Answer
Correct Answer:
Slope
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2. Is residual the difference between a predicted value and an empirical value on a dependent variable?
Answer
Correct Answer:
True
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3. _____ is known as a technique for modeling linear relationships between one or more independent variables and one dependent variable wherein each independent variable is evaluated on the basis of its ability to accurately predict the values of the dependent variable.
Answer
Correct Answer:
Regression analysis
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4. _____ is defined as a slope coefficient that measures the individual impact of an independent variable on a dependent variable while holding other independent variables constant.
Answer
Correct Answer:
Partial slope coefficient
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5. _____ is a regression analysis that uses two or more independent variables and one dependent variable.
Answer
Correct Answer:
Multiple regression
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6. Is intercept the point at which the regression line crosses the y-axis; also the value of y when x = 0?
Answer
Correct Answer:
True
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7. _____ is known as a dichotomous independent variable.
Answer
Correct Answer:
Dummy variable
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8. _____ is defined as a regression analysis that uses one independent variable and one dependent variable.
Answer
Correct Answer:
Bivariate regression
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9. _____ is a standardized slope coefficient that ranges from –1.00 to +1.00 and can be interpreted similarly to a correlation so that the magnitude of an independent variable–dependent variable relationship can be assessed.
Answer
Correct Answer:
Beta weight
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10. What must be found FIRST in order to determine if a b value is statistically significant?
Answer
Correct Answer:
The standard error
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11. The slope in a regression equation is defined as what?
Answer
Correct Answer:
A measure of the change in the DV produced by a one-unit change in the IV
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12. What is the null hypothesis in a regression analysis?
Answer
Correct Answer:
There is no relationship between IVs and DVs.
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13. Which of the following statements provides a definition for the intercept in regression analysis?
Answer
Correct Answer:
The point in which the line crosses the Y-axis
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14. What is the primary reason bivariate regression is problematic?
Answer
Correct Answer:
Social factors typically have more than one cause.
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15. What does the correlation of prediction address?
Answer
Correct Answer:
The quality of predictions
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16. What item(s) must be calculated before creating a regression equation?
Answer
Correct Answer:
The intercept and the slope coefficient
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17. What is the most accurate definition for line of best fit?
Answer
Correct Answer:
A line that comes closer to the data points than any other lines
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18. The regression equation produces which type of values?
Answer
Correct Answer:
Predicted y’s and empirical y’s
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19. Which of the following statements provides the best definition for ordinary least squares regression.
Answer
Correct Answer:
A common procedure for estimating regression equations
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20. Slope coefficients with larger standard errors are generally less accurate than ones with smaller standard errors.
Answer
Correct Answer:
True
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21. Hypothesis testing using multiple regression is typically considered a two-tailed test.
Answer
Correct Answer:
True
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22. The regression formula gives us only empirical values.
Answer
Correct Answer:
False
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23. The slope coefficient in regression is represented by b.
Answer
Correct Answer:
True
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24. A bivariate regression contains more than one independent variable.
Answer
Correct Answer:
False
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Criminal Justice And Criminology (Statistics) MCQs | Topic-wise
