William used a sample of 68 large U.S. cities to estimate the relationship between Crime (annual property crimes per 100,000 persons) and Income (median annual income per capita, in dollars). His estimated regression equation was Crime = 428 + 0.050 Income. We can conclude that Group of answer choices the intercept is irrelevant since zero median income is impossible in a large city. the slope is small so Income has no effect on Crime. wealthy individuals tend to commit more crimes, on average. crime seems to create additional income in a city.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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ISBN:9780079039897
Author:Carter
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Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
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William used a sample of 68 large U.S. cities to estimate the relationship between Crime (annual property crimes per 100,000 persons) and Income (median annual income per capita, in dollars). His estimated regression equation was Crime = 428 + 0.050 Income. We can conclude that
Group of answer choices
the intercept is irrelevant since zero median income is impossible in a large city.
the slope is small so Income has no effect on Crime.
wealthy individuals tend to commit more crimes, on average.
crime seems to create additional income in a city.
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