The Cato Institute (November 6, 2019) published a study on how immigration impacts the homicide rate in New York City. A simple linear regression model was fit to annual data, where y = homicide rate (number of homicides per 100,000 New Yorkers) and x = immigration rate (percent of New York City population that is foreign born). Suppose a conservative New York politician theorizes that the homicide rate increases as the immigration rate increases – that is, the more immigrants living in New York City, the higher the city’s homicide rate. An analysis of the model yielded an estimated slope of -.32, with an associated two-tailed p-value of less than .01. Do you agree with the politician? Explain.