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 Multiple Choice crime causes additional income in each city. the intercept is irrelevant because zero median income makes no sense. wealthy individuals tend to commit most crimes. there is no significant relationship between income and crime.
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 Multiple Choice crime causes additional income in each city. the intercept is irrelevant because zero median income makes no sense. wealthy individuals tend to commit most crimes. there is no significant relationship between income and crime.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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 (
Multiple Choice
crime causes additional income in each city.
the intercept is irrelevant because zero median income makes no sense.
wealthy individuals tend to commit most crimes.
there is no significant relationship between income and crime.
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