Bivariate Pearson Correlation MCQs
Bivariate Pearson Correlation MCQs
Welcome to the MCQss.com page dedicated to multiple-choice questions on Bivariate Pearson Correlation. Here, you will find a collection of interactive questions that cover various aspects of Bivariate Pearson Correlation. Each question presents you with different correlation scenarios and allows you to select the most appropriate correlation coefficient interpretation.
Bivariate Pearson Correlation is a statistical measure that determines the strength and direction of the linear relationship between two continuous variables. It provides valuable insights into the degree to which two variables are associated.
By using the free multiple-choice questions on Bivariate Pearson Correlation available on MCQss.com, you can assess your understanding, practice interpreting correlation coefficients, and enhance your skills in statistical analysis. These questions will help you prepare for exams, tests, and assessments that require a solid grasp of Bivariate Pearson Correlation.
Take advantage of our Bivariate Pearson Correlation MCQs to deepen your knowledge, gain confidence in interpreting correlations, and excel in your statistical analysis endeavors.
1: An association is approximately linear if a one-unit increase in X is associated with an average increase of b units in the Y score.
A. True
B. False
2: A categorical variable that can take only two values. Usually, these are coded 0 and 1 or 1 and 2 is known as ______ .
A. Dichotomous Variable
B. Concordant Variable
C. Discordant Variable
D. All of these
3: A combination of X and Y scores that is not necessarily extreme on either X or Y is known as_______ .
A. Bivariate Outlier
B. Concordant Pairs
C. Spurious Correlation
D. None of these
4: Concordant Pairs refers to scores for participants who have either low scores or high scores on both X and Y.
A. True
B. False
5: Rho is used to ________ the true value of the correlation between variables in the population .
A. Represent
B. Hide
C. Compensate
D. None of these
6: Which of the correct statements about Coefficient of Determination ?
A. A name sometimes used for r2. I prefer not to use this name because it implies causality .
B. A correlation between X1 and Y is said to be spurious if the correlation between X1 and Y
C. Correlations (or other statistical indexes of the strength of relationship between variables) usually become smaller when one or both variables
D. The variance in dependent variable scores that cannot be predicted from other variables in the analysis.
7: The variance in dependent variable scores that cannot be predicted from other variables in the analysis is known as ________ .
A. Error Variance
B. Spurious Correlation
C. Aggregated Data
D. None of these
8: A correlation between X1 and Y is said to be spurious if the correlation between X1 and Y drops to 0 when you control for an appropriate X2 variable.
A. True
B. False
9: Attenuation (of Correlation) Due to Unreliability is a Correlations usually become smaller when one or both variables have poor measurement reliability.
A. True
B. False
10: Data points that represent group means instead of scores for individual cases is known as _______ .
A. Simple Data
B. BIG Data
C. Aggregated Data
D. None of these
11: Covariance IS The unstandardized equivalent of correlation. Covariance(X, Y) = Σ(X – XM) × (Y – YM)/df. Then, rXY = covariance(X, Y)/(SDX × SDY).
A. TRUE
B. FALSE
12: An assessment of consistency or agreement for two or more raters, coders, or observers is known as _______ .
A. Interrater Reliability
B. External reliability
C. Both a & b
D. None of these
13: Discordant Pairs are cases that have a ________ on X paired with a low score on Y or a low score on X paired with a high score on Y are discordant.
A. High score
B. Low score
C. Medium score
D. None of these
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Bivariate Pearson Correlation MCQs
