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Regression in SPSS

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Assume that you are an analyst for the City of Normalton in 1999. You have been asked by the Mayor to evaluate the effectiveness of two juvenile crime policies:
The strict curfew put in place on Jan1, 1994 and
The parental responsibility law put in place on March 1, 1994.

The police department has provided you with the dataset containing statistics they have assembled since 1990.

Specify the model to employ in analysis
Discuss the statistical tests to conduct
Provide the important tables and charts to reach conclusions

I WAS THINKING FOR THE STRICT CURVEW I WOULD EMPLOY REGRESSION MODEL. FOR THE PARENTAL RESPONSIBLITY I WOULD USE MULTIPLE REGRESSION AND OR SCATTERPLOT
PLEASE TELL ME WHICH TEST TO USE AND SHOW ME THE RESULTS.

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Solution:

You are absolutely right... you can use the linear regression model to fit using the SPSS data.

Two points I would like to add here...
1) If you are going to consider the (strict curfew) as the outcome or response variable, then you need to look out for the causes that affects the output (response or dependent variable).

Assume to have a strict curfew in place, the various factors are
a) Juvenile arrests for violating curfew
b) Number of arrests made after imposing and implementing curfew.

So, we have two independent variables x1 and x2 with one response variable.

Such that:

Strict curfew(y) = a0 + a1 (Juvenile arrests for curfew violation) + a2 (arrests after imposing curfew)

Or y = a0 + a1x1 + a2x2 is the linear regression in two variables model to befitted using the data we have, where a0 = y intercept (constant), a1 and a2 are the regression ...

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