Hypothesis Testing (Two Continuous Variables) MCQs

Hypothesis Testing (Two Continuous Variables) MCQs

Answer these 10+ Hypothesis Testing (Two Continuous Variables) MCQs and see how sharp is your knowledge of Hypothesis Testing (Two Continuous Variables).
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1: A correlation is used when both variables are continuous.

A.   True

B.   False

2: Correlations can be tested with more than one dependent variable at the same time.

A.   True

B.   False

3: A zero correlation signifies no relationship between the variables.

A.   True

B.   False

4: If a null hypothesis is retained, the magnitude of the correlation is examined.

A.   True

B.   False

5: The coefficient of determination is denoted by r2.

A.   True

B.   False

6: Which of the following measures do researchers NOT explore when the null is rejected in a correlation analysis?

A.   Tukey’s HSD test

B.   Magnitude

C.   Coefficient of determination

D.   Sign

7: Which of the following concepts describes the bivariate relationships represented by correlations?

A.   Quadratic

B.   Dichotomous

C.   Linear

D.   Categorical

8: The population correlation is represented by which Greek letter?

A.   Alpha

B.   Beta

C.   Omega

D.   Rho

9: Which of the following statements describes a positive correlation?

A.   When a unit increase in the IV produces an increase in the DV.

B.   When a unit increase in the IV produces a decrease in the DV.

C.   When two variables correlate at 1.00.

D.   None of these

10: Correlation analysis uses which of the following statistical distributions?

A.   Z distribution

B.   F distribution

C.   T distribution

D.   Positively skewed distribution

11: How are degrees of freedom calculated in correlation analysis?

A.   Df = N – 2

B.   Df = N – 1

C.   Df = K – 1

D.   Df = C1*R1

12: What does the coefficient of determination represent?

A.   The percentage of the DV that is explained by the other DV

B.   The percentage of the DV that is explained by the IV

C.   The percentage of the IV, explained by the DV

D.   The correlation

13: Coefficients less than zero signify what type of relationship between the variables?

A.   Positive relationships

B.   Undefined relationships

C.   No relationships at all

D.   Negative relationships

14: Which statement describes the null hypothesis in correlation analysis?

A.   There is no correlation between the two variables.

B.   There is an undefined relationship between the two variables.

C.   The variables are positively related.

D.   None of these

15: _____ is a relationship wherein the change in the dependent variable associated with a one-unit increase in the independent variable remains static or constant at all levels of the independent variable.

A.   Linear relationship

B.   There is no correlation between the two variables.

C.   Unit of analysis

D.   All of these

16: _____ is defined as the bivariate statistical analysis used when both independent and dependent variables are continuous.

A.   0.00–100.00

B.   They have no range.

C.   None of these

D.   Pearson’s correlation

17: _____ is known as when a one-unit increase in the independent variable produces an increase in the dependent variable.

A.   None of these

B.   STATA

C.   Positive correlation

D.   SPSS

18: Is r coefficient the test statistic in a correlation analysis?

A.   True

B.   False