Suppose a researcher is trying to understand what makes living in a particular city desirable. She uses a list from a popular magazine of the current top 50 desirable cities to live in. Each city was given a desirability score by the magazine's viewers. The researcher is curious about how well she can predict those scores using only two independent variables: the median home price and the number of fast-food restaurants within 5 miles of downtown. She obtains the values for median home price and number of fast-food restaurants within 5 miles of downtown for each of the 50 cities and calculates the following values: Zero-Order Correlations: Median Home Price and # of Fast-Food Restaurants within 5 Miles of Downtown City Desirability Rating Median Home Price # of Fast-Food Restaurants within 5 Miles of Downtown City Desirability Rating 1.000 1.000 0.509 0.509 0.293 0.293 Median Home Price 1.000 1.000 0.060 0.060 # of Fast-Food Restaurants within 5 Miles of Downtown 1.000 1.000 The researcher computes the partial correlation of 0.306 0.306 between the city desirability rating and the number of fast-food restaurants within 5 miles of downtown controlling for the median home price. Because this value is not much different