A ski resort asked a random sample of guests to rate their satisfaction on various attributes of their visit on a scale of 15 with 'l = very unsatised and 5 = very.r satised. 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.?399 Li'F'tlal'Eit 6 .1522 Amountroomed 6 .2515 SkiF'a'trolv'isilJvili'l:3ur 6 .8612 FriendlinessHosts 6.1224 to] Write the tted regression equation. [Round your answers to 4 decimal places. Negative values should be indicated by a minus sign.) 3} = |:| + |:| ' LiWaii + |:| ' AmountGroomed+ |:| ' SkaairoFVisibiiiin |:| 'FriendiinessHosis lb} Interpret each coefficient. Overall satisfaction (Click to select) v 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? 0 Yes O No Id} Make a prediction for Overall Satisfaction when a guest's satisfaction in all four areas is rated a 4. {Round your answer to 4 decimal places} Overall satisfaction score |:|