Bus and subway ridership for the summer months in London, England, is believed to be tied heavily to the number of tourists visiting the city. During the past 12 years, the following data have been obtained: This exercise contains only parts b,c,d, and f. b) The least-squares regression equation that shows the best relationship between ridership and the number of tourists is (round your responses to three decimal places): y^=+x where y^= Dependent Variable and x= Independent Variable. c) If it is expected that 10 million tourists will visit London, then the expected ridership = million riders (round your response to two decimal places). d) If there are no tourists at all, then the model still predicts a ridership. This is due to the fact that zero tourists are the range of data used to develop the model. e) The standard error of the estimate developed using least-squares regression = (round your response to three places). f) The coefficient of correlation for the least-squares regression model = (round your response to three decimal places). The coefficient of determination for the least-squares regression model = (round your response to three decimal places)