William
used a sample of 68 U.S. cities to estimate the relationship between
Crime (annual property crimes per 100,000 persons) and Income (median
income per capita). His estimated regression equation was Crime = 428 +
.050 Income.
Which outcomes would be likely in a bivariate regression on 45 randomly chosen U.S. cities in 2005 with
Y = number of robberies in each city (thousands of robberies) and
X = size of police force in each city (thousands of police)?
A. No correlation.
B. Autocorrelation.
C. Positive slope (due to city size).
D. High R2 (due to city size).
Which outcomes would be likely in a bivariate regression on 45 randomly chosen U.S. cities in 2005 with
Y = number of robberies in each city (thousands of robberies) and
X = size of police force in each city (thousands of police)?
A. No correlation.
B. Autocorrelation.
C. Positive slope (due to city size).
D. High R2 (due to city size).
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