Question 1 (1 point) Question 1: Correlation refers to: Question 1 options: The
ID: 3060113 • Letter: Q
Question
Question 1 (1 point)
Question 1: Correlation refers to:
Question 1 options:
The causal relationship between two variables.
The linear relationship between two variables.
The proportion of variance that two variables share.
A statistical method that can only be used with a correlational research design.
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Question 2 (1 point)
Question 2: If two variables are highly correlated, what do you know?
Question 2 options:
That they always go together.
That high values on one variable lead to high values on the other variable.
That there are no other variables responsible for the relationship.
That changes in one variable are accompanied by predictable changes in the other.
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Question 3 (1 point)
Question 3: The coefficient of determination tells us:
Question 3 options:
The proportion of variance in X accounted for by the mean of Y.
The proportion of variance in Y accounted for by X.
The mean value of Y.
The mean value of X.
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Question 4 (1 point)
Question 4: In the equation of a straight line, Y = mX + c the term, m is the:
Question 4 options:
Independent variable.
Dependent variable.
Intercept.
Slope.
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Question 5 (1 point)
Question 5: Analysis of Variance (ANOVA) is a test for equality of:
Question 5 options:
variances.
means.
proportions.
only two parameters
The causal relationship between two variables.
The linear relationship between two variables.
The proportion of variance that two variables share.
A statistical method that can only be used with a correlational research design.
Explanation / Answer
Question1) Option B) is correct.
The linear relationship between two variables.
Question 2) Option D) is correct.
That changes in one variable are accompanied by predictable changes in the other.
Question 3) Option B) is correct.
The proportion of variance in Y accounted for by X.
Question 4) Option D) is correct.
Slope.
Question 5) Option B) is correct.
means