The manager of a commuter rail transportation system was recently asked by her governing board to predict the demand for rides in the large city served by the transportation network. The system manager has collected data on variables thought to be related to the number of weekly riders on the city's rail system. The file PIO_20.xlsx contains these data. a. Estimate a multiple regression equation using all of the available explanatory variables. Let Xl represent the year. LetX2 represent the price per ride. Let Xs represent the population. Let Xs represent the income. Let Xs represent the parking rate. If required, round your answers to three decimal places. sign before the blank. (Example: -300) Xl + What does the ANOVA table indicate for this model? For subtractive or negative numbers use a minus sign even if there is a + Because of the select v p-value for the F test of this model, we select v conclude that this set of explanatory variables is v in explaining the variation in Weekly Riders. b. Is there evidence of auto correlated residuals in this model? Round your answer to two decimal places, necessary. The Durbin-Watson statistic for the residuals is autocorrelation. . This indicates that there might be a problem with select v lag 1