# A model was developed to predict the length of a sentence (the response variable) for a male…

A model was developed to predict the length of a sentence
(the response variable) for a male convicted of assault using the following
predictor variables: age (in years), number of prior felony convictions,
whether the criminal was married or not (1 = married), and whether the criminal
was employed or not (1 = employed). The table below shows the regression
output. (a) Write the regression model. (b) Using 45 d.f., find the p-value for
each coefficient. Using an _ = .01, which predictor variable(s) are not
significant predictors of length of sentence? (c) Interpret the coefficient of
»

A model was developed to predict the length of a sentence
(the response variable) for a male convicted of assault using the following
predictor variables: age (in years), number of prior felony convictions,
whether the criminal was married or not (1 = married), and whether the criminal
was employed or not (1 = employed). The table below shows the regression
output. (a) Write the regression model. (b) Using 45 d.f., find the p-value for
each coefficient. Using an _ = .01, which predictor variable(s) are not
significant predictors of length of sentence? (c) Interpret the coefficient of
Married. (d) How much shorter is the sentence if the criminal is employed? (e)
Predict the length of sentence for an unmarried, unemployed 25-year old male
with one prior conviction. Show your calculations.

»

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