20 practice questions with answers for the Statistics exam of Forensic and Legal Psychology

1. From a univariate linear regression this plot is produced. What can we conclude
about the relationship between x and y from this graph?
a. It is strong with a large sample size
b. It does not violate the assumption of linearity
c. Both of these are correct
d. Neither of these are correct

2. You perform a univariate regression analysis and find an R-value of 0.85. What can
you conclude about your data?
a. The relation between the outcome and the predictor is strongly linear.
b. The regression model offers a good fit for your data.
c. Your model explains 85% of the variation in Y.
d. Neither of these are correct.




3. The outlier in this scatterplot will have a:
a. large standardized residual; low Mahalanobis; moderate Cook’s distance
b. moderate standardized residual; high Mahalanobis; low Cook’s distance
c. large standardized residual; high Mahalanobis; high Cook’s distance

4. When your regression model has a lack of autocorrelation this means that:
a. You do not have a problem regarding multicollinearity.
b. Any two observations in your data have uncorrelated residual terms.
c. You cannot run a linear regression analysis.