Examples of Control Variables you may use: o Gender o Age o Race/ethnicity o Employment o Education level o Family/peer association Dependent Variables: o Measure of recidivism in the analysis was reincarcerated in different state facilities within the U.S. Prison system within 3 years of release whether due to a new crime or technical violation. Independent Variable(s) Examples: o Offenders with a Mental illness/disorder o Offenders with a Substance use disorder o Offenders with a mental illness/disorder and substance use disorder o Offenders with a no mental or substance use disorder The dataset to be used in the case of the statistical research project is as attached in the excel file. The main purpose of the research project is to examine on predicting the recidivism for criminal offenders with a mental illness and substance use disorders (Darlington & Hayes 2016). The independent variables for the research will include inmates with mental illness, inmates with substance use disorders, inmates with mental illness and substance use disorders and the inmates with no mental illness and substance use disorder. The dependent variables for the study were measured by the aspect of revocation as well as rearrests among the criminal. A simple regression model will be used in fitting of the equation through use of both the independent and the dependent variables. In this case the independent variables used will be inmates with mental illness, inmates with substance use disorders, inmates with mental illness and substance use disorders and the inmates with no mental illness and substance use disorder (Chatterjee & Hadi, 2015). Besides, the dependent variables for the study will be measured by the aspect of revocation as well as rearrests among the criminal. This will be in the form of the following equation: Recidivism= Inmates with mental illness + inmates with substance use disorders + inmates with mental illness and substance use disorders + Inmates with no mental illness and substance use disorder. In order to run the regression in the excel file, first, there was collection of datasets to the file (Bolin 2014). This was followed by labelling the independent as well as the dependent variables for the study. After naming of the various variables used in the file, there was performing of a simple linear regression that led to generation of the regression output including the constants and the regression coefficients respectively.
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