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Q: 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. Autocorrelation. B. Positive slope (due to city size). C. No correlation. D. High R2 (due to city size).
A: The answer is D. Positive slope (due to city size).
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User: 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. Autocorrelation. B. Positive slope (due to city size). C. No correlation. D. High R2 (due to city size).

Weegy: The answer is D. Positive slope (due to city size).
lilachicks3|Points 80|

User: Which of the following statements is true? A. If A and B are independent events, the P(B) = P(A) P(B). B. The probability of A and its complement (A') will always sum to one. C. If event (A) occurs, then its complement (A') will also occur. D. The sum of two mutually exclusive events is one.

Weegy: B. The probability of A and its complement (A') will always sum to one is the true statement
dennis003|Points 1030|

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Asked 7/25/2013 9:13:35 PM
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