A ski resort asked a random sample of guests to rate their satisfaction on various attributes of their visit on a scale of 1 to 5 with 1 = very unsatisfied and 5 = very satisfied. The estimated regression model was Y = overall satisfaction score, X1 = lift line wait, X2 = amount of ski trail grooming, X3 = safety patrol visibility, and X4 = friendliness of guest services. Predictor Coefficient Intercept 2. 8931 LiftWait 0. 1542 Amount Groomed 0. 2495 SkiPatrolVisibility 0. 0539 FriendlinessHosts 0. 1196 Click here for the Excel Data File (a) Write the fitted regression equation. (Round your answers to 4 decimal places. Negative values should be indicated by a minus sign.) y = * LiftWait + * AmountGroomed + x SkiPatrolVisibility + * FriendlinessHosts (b) Interpret each coefficient. Overall satisfaction with an increase in satisfaction for each individual predictor except for friendliness of hosts. (c) Would the intercept seem to have meaning in this regression? O Yes O No (ed) Make a prediction for Overall Satisfaction when a quest's satisfaction in all four areas is rated a 5 (Round vour answer to 4{cl} Make a prediction for Overall Satisfaction when a guest's satisfaction in all four areas is rated a 5. [Round your answer to 4 decimal places.) I Overall satisfaction score :I