Question 1: In criminal justice and criminology research, regression models produce R² values as a measure of the explanatory power or utility of the model. A model might be considered to be satisfactory with an R² value of .35, even though a majority of the variance in the dependent variable is left unexplained. Why would regression models that explain less than half of the variance in dependent variables be considered satisfactory? Use several independent and dependent variables to illustrate and support your answer, and make a suggestion on how the R² value could be strengthened in studying the variables you identified.

Question 2: Using the information from the table below about 2 variables of "priorref" and "inlength," and interpret the results, including the coefficient of determination.