In a Simple Regression Y = B0 + B1X Where

question 109

Multiple Choice

In a simple regression Y = b0 + b1X where Y = number of robberies in a city (thousands of robberies) ,X = size of the police force in a city (thousands of police) ,and n = 45 randomly chosen large U.S.cities in 2008,we would be least likely to see which problem?

• A)Autocorrelated residuals (because this is time-series data)
• B)Heteroscedastic residuals (because we are using totals uncorrected for city size)
• C)Nonnormal residuals (because a few larger cities may skew the residuals)
• D)High leverage for some observations (because some cities may be huge)

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Definitions:

Indefinitely

For an unspecified or unlimited period of time.

Shrinking Population

A demographic trend where the number of individuals in a population decreases over time due to factors like low birth rates, high death rates, and emigration.

Prereproductive Individuals

Organisms that have not yet reached sexual maturity and thus are not capable of reproduction.

Survivorship Curve

A graph showing the number or proportion of individuals surviving to each age for a given species or group.