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.
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.
College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter1: Equations And Graphs
Section1.3: Lines
Problem 92E
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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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