A researcher runs a regression of fast food consumption on the city where it is purchased: Consumption = 43.5+ 1.9 City where the variable City is coded as follows: City 1 for Sydney = 2 for Melbourne = 3 for Brisbane = 4 for Canberra The best interpretation of this regression is: As City rises by 1 unit, consumption of the fast food rises by 1.9 on average. O Fast food is more likely consumed in cold climates. O None of the other alternatives are correct. O The data for 'City' is inappropriate for regression analysis and therefore the equation cannot be interpreted.
