We appreciate your visit to Question 8 A researcher ran a regression examining the effect of the unemployment rate on the non violent crime rate The slope was 27 15. This page offers clear insights and highlights the essential aspects of the topic. Our goal is to provide a helpful and engaging learning experience. Explore the content and find the answers you need!
Answer :
To predict the non-violent crime rate in City X based on the regression model, we can use the equation:
Non-violent crime rate = Intercept + (Slope * Unemployment rate)
Given that the slope of the regression line is 27.15 and the intercept is -124.28, and City X has an unemployment rate of 26.6, we can substitute these values into the equation to calculate the predicted non-violent crime rate:
Non-violent crime rate = -124.28 + (27.15 * 26.6)
Non-violent crime rate = -124.28 + 721.59
Non-violent crime rate = 597.31
Therefore, the predicted non-violent crime rate in City X is 597.31.
It's important to note that this prediction is based on the regression model and assumes that the relationship between unemployment rate and non-violent crime rate is linear and holds true for City X. Additionally, other factors not included in the model may also influence the non-violent crime rate, so the prediction should be interpreted with caution.
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