Reference no: EM13465904
1.Which of the following defines a linear relationship between variables?
- 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 ___________.
- 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.
4. What does r2 accomplish that r does not?
- 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?
- 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 ____________.
- 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?
- 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:
- 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.
10. Error in regression is a function of the correlation between x and y.