The following Introduction to Correlation and Regression MCQs have been compiled by our experts through research, in order to test your knowledge of the subject of Introduction to Correlation and Regression. We encourage you to answer these 20 multiple-choice questions to assess your proficiency.
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A. Data that have already been collected
B. Experimenter only has statistical power
C. Experimenter has both statistical and experimental power
D. Experimenter can no longer change the original experimental design
A. True
B. False
A. Test the significance of a phi correlation
B. Test nonparametric frequency data
C. Test difference of variance
D. Both a and b
A. Phi
B. Pearson’s
C. Spearman
D. None of these
A. Common
B. Fixed
C. Nonspecified
D. All of these
A. Degree of freedom
B. Strength of a relationship
C. Dependance
D. None of these
A. Linear relationship
B. Curved relationship
C. Curvilinear relationship
D. None of these
A. Number
B. Sum of numbers
C. Square of numbers
D. Sum of square of numbers
A. Violation of the homoscedasticity assumption
B. The bivariate distribution has greater variance for some values of the y scores
C. Linear regression distributions have similar variances
D. Linear regression distributions have different variances
A. True
B. False
A. Y score given an X score
B. X score given a Y score
C. Both X and Y scores
D. None of these
A. Confounding variables
B. Dependent variables
C. Discrete variables
D. All of these
A. Single dependent variable
B. Single independent variable
C. Multiple dependent variables
D. Multiple independent variables
A. Pearson’s product–moment correlation
B. Phi correlation
C. Point-biserial correlation
D. None of these
A. A continuous and a dichotomous variable
B. Two continuous variables
C. Two dichotomous variables
D. None of these
A. A continuous and a dichotomous variable
B. Two continuous variables
C. Two dichotomous variables
D. None of these
A. An independent variable and a dependent variable
B. Two dependent variables
C. Two independent variables
D. Two continuous variables
A. Dependent Variables
B. Confounding Variables
C. Continuous Variables
D. Independent Variables
A. True
B. False
A. Pearson’s product–moment correlation
B. Phi correlation
C. Point-biserial correlation
D. Spearman’s Correlation
A. R
B. Rs
C. Φ
D. Rpb
A. True
B. False
A. True
B. False
A. Correlation coefficient
B. Independent t test
C. Dependent t test
D. All of these
A. Pearson’s product–moment correlation
B. Zero-order correlation
C. Point-biserial correlation
D. Spearman’s Correlation
A. True
B. False
A. Positive correlation
B. A positive correlation between amount of sunlight and plant growth.
C. A positive correlation between studying and grades
D. Negative correlation
A. Predict the value of the dependent variable given a value of the independent variable
B. Predict the value of the independent variable given a value of the dependent variable
C. Predict the value slope of the line
D. Measure the association between two variables
A. Is the same as the correlation between B and A.
B. At least one output and one input, but the output obviously is insufficient to generate the input shown
C. At least one input and one output, but the input obviously is insufficient to generate the output shown