1. Which of the following defines a linear relationship between variables? (Points : 1)
As one variable rises and falls, the other does likewise.
The relationship is positive or negative, but not both.
The relationship between variables depends upon the range of the data.
As one variable increases or decreases, the other tends to level out.
2. Theoretically, the standard error of the estimate is ___________. (Points : 1)
the mean of all possible error scores
the sum of all possible error scores
the standard deviation of all error scores
the sum of all error score variances
3. As sample size grows, the magnitude of the correlation required for significance increases. (Points : 1)
True
False
4. What does r2 accomplish that r does not? (Points : 1)
It quantifies the x/y relationship.
It normalizes the data involved in the relationship.
It provides an answer to the statistical hypotheses.
It makes the increments between tenths equal.
5. Which of the following defines a bivariate correlation? (Points : 1)
A correlation value that can vary
Correlating groups of variables
A correlation between two variables
Two variables correlated with a third
6. A dichotomous variable is ____________. (Points : 1)
a variable with only two levels
an ordinal scale variable
a variable that can be positive or negative
a variable which is difficult to measure
7. How are degrees of freedom related to critical values of rxy? (Points : 1)
Critical values increase in direct proportion to degrees of freedom.
Critical values decline as degrees of freedom increase.
Critical values are such that significance is difficult to establish with large samples.
Critical values allow degrees of freedom to be ignored in large samples.
8. The size of the standard error of the estimate is increased by the following except: (Points : 1)
Weaker x/y correlations
Larger sample sizes
More variability in the criterion variable
Random sampling
9. The Spearman’s rho requires that the both sets of data be ranked. (Points : 1)
True
False
10. Error in regression is a function of the correlation between x and y. (Points : 1)
True
False
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