A ski resort asked a random sample of guests to rate their satisfaction on various attributes of their visit on a scale of 1-5 with 1= veryunsatisfied and 5 = very satisfied. The estimated regression model was Y = overall satisfaction score, X1 = lift line wait, X2 = amount ofski trail grooming, X3 = safety patrol visibility, and X4 = friendliness of guest services.PredictorCoefficientIntercept2.9018Liftwait0.1642AmountGroomed0.2343SkiPatrolVisibilityFriendlinessHosts0.0602-0.1193(a) Write the fitted regression equation. (Round your answers to 4 decimal places. Negative values should be indicated by a minussign.)2.90180.1642 * LiftWait +0.2343 * AmountGroomed +0.0602 * SkiPatrolVisibility +-0.1193 * FriendlinessHosts%3!(b) Interpret each coefficient.Overall satisfaction increases]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?YesNo(d) Make a prediction for Overall Satisfaction when a guest's satisfaction in all four areas is rated a 3. (Round your answer to 4decimal places.)Overall satisfaction score

Regression analysis estimates the relationship among variables. That is, it estimates the…

Answered: A ski resort asked a random sample of…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.6: Regression And Median-fit Lines

Problem 4GP

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