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A regression model to predict Y, the state burglary rate per 100,000 people for 2005, used the following four state predictor

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Answer #1

a) t values will be the ratio of Coefficient and SE and then, p - value will be two tailed value corresponding to that t at 33 d.f. Hence,

The complete table will be:

Predictor Coefficient SE Intercept 4761.057 797.1734 AgeMed -30.867 12.9595 Bankrupt 19.40631 12.8931 FedSpend -0.0183 0.0103

b) t value = 2.733

c) Option A is correct.

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