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Using the sentencing dataset, run a regression analysis and answer the following questions on a WORD document:
Which independent variable(s) have a statistically significant effect on prison sentence length? Interpret the beta coefficient for these significant variable(s).
What is the R2 for the model? Is this coefficient relatively high or low?
Although nonsensical, interpret the beta coefficient for the intercept.
Is multicollinearity impacting your results? Explain why or why not.
Are there any influential cases in the dataset? Explain your answer.