Degree of Association and Prediction MCQs
Degree of Association and Prediction MCQs
Answer these Degree of Association and Prediction MCQs and assess your grip on the subject of Degree of Association and Prediction.
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1: _______ is an association measure for which it is important for the researcher to have a clear sense of which variables are independent and dependent, respectively.
A. Asymmetrical measure of association
B. Control variable
C. Correlation matrix
D. Direct relationship
2: Control Variables other than the main independent variable that might influence the dependent variable and are, therefore, included in the statistical analysis.
A. True
B. False
3: A table showing the correlation coefficients between variables are known as Correlation matrix ?
A. True
B. False
4: Direct relationship is a partial correlation that indicates that the third, control, variable does not seem to have an effect on the original bivariate relationship.
A. True
B. False
5: A means of converting categorical variables into aliphatic ones in order to be able to run regression analyses is known as Dummy variable
A. True
B. False
6: See inessential significance element generally units of observation about which a researcher is collecting information is known as Effect size
A. True
B. False
7: Entry regression method is a regression method where some the variables a researcher is interested in analyzing are put into the equation regardless of whether the variable has a inconsequential significant effect on the dependent variable
A. True
B. False
8: _______ is a partial correlation that adds the first (one) control variable to a bivariate comparison.
A. First-order correlation
B. Interaction
C. Intervening relationship
D. Least squares analysis
9: ________ is a type of spurious relationship in which the original bivariate relationship of X and Y is different for different values of a third variable, Z.
A. First-order correlation
B. Interaction
C. Intervening relationship
D. Least squares analysis
10: _________ is a type of spurious relationship where the main independent variable X affects a third variable Z, which in turn is what produces the change in Y.
A. First-order correlation
B. Interaction
C. Intervening relationship
D. Least squares analysis
11: _________ is a type of spurious relationship where the main independent variable X affects a third variable Z, which in turn is what produces the change in Y.
A. First-order correlation
B. Interaction
C. Intervening relationship
D. Least squares analysis
12: _______ is the mathematical analysis used to determine the best-fit regression line for observed data.
A. First-order correlation
B. Interaction
C. Intervening relationship
D. Least squares analysis
13: ________ is a straight line that is the best fit for the observed relationship between two normally distributed interval/ratio measures.
A. First-order correlation
B. Linear regression line
C. Intervening relationship
D. Least squares analysis
14: When measuring association, this means that the variables are moving in opposite directions. As one variable decreases in value, the other increases.
A. Negative relationship
B. Partial correlation
C. Partial slope
D. None of these
15: When measuring association, this means that the variables are moving in opposite directions. As one variable decreases in value, the other increases.
A. Negative relationship
B. Partial correlation
C. Partial slope
D. None of these
16: _________ measures the degree of association between two variables while addressing the effects of additional variables simultaneously.
A. Negative relationship
B. Partial correlation
C. Partial slope
D. None of these
17: _________ measures the degree of association between two variables while addressing the effects of additional variables simultaneously.
A. Negative relationship
B. Partial correlation
C. Partial slope
D. None of these
18: In a multiple regression equation, it is the relationship between a predictor variable and a dependent variable that is independent of other predictor variable known as ?
A. Negative relationship
B. Partial correlation
C. Partial slope
D. None of these
19: Positive relationship is measuring association, this means that the variables are moving in a different direction. As two variables increase in value, so does the other and vice versa.
A. True
B. False
20: Proportionate reduction of error is statistical tests of effect size that compare the errors a researcher would make in predicting the dependent variable while ignoring the independent variable relative to the errors one would make predicting the dependent variable while now considering the contribution of the independent variable for each category of the dependent variable.
A. True
B. False
21: When using dummy variables, this is the _______ dummy variable created from a categorical variable that is omitted from the analysis in order to serve as a comparison is known as Reference category
A. 0-1
B. 0-2
C. 0-3
D. 0-4
22: When an observed bivariate relationship is actually caused by a first variable outside of the original one is known as Spurious relationship
A. True
B. False
23: ________is a form of regression analysis where the computer builds a best-fit regression model by including variables based on the strength of association.
A. Stepwise regression method
B. Symmetrical measure
C. Zero-order correlation
D. Abstract
24: These are statistical tests of association for which it matter which variable is the dependent or dependent variable is known as Symmetrical measure
A. True
B. False
25: Zero-order correlation is also known as a bivariate correlation.
A. True
B. False
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Degree of Association and Prediction MCQs
