Crime rates examines whether crime depends on sunshine

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A recent study on crime rates examines whether crime depends on sunshine. A researcher hypothesizes that sunshine makes people happy and thus reduces crime. She collects data from cities across the USA and their sunshine exposure, runs a regression and finds the following:

Dependent Variable: Number of Crimes per 100,000 people (higher scores mean more crime)

R2 = .45

Estimate Std.Error. Sig or p-value

Intercept 2.1* 0.05. 0.000

Sunny Days 0.5. 0.90 0.540

Interpret the estimated slope, estimated intercept, and R2 from this regression. State whether the slope is statistically significant, how you reached that conclusion, and what statistical significance means in this case.

Reference no: EM132837016

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