in Taiwan Chapter 9: Forecasti a. How many visits do you anticipate? b. Medicare's allowed fee is $120. What revenue do you anticipate? ur c. What might change your forecast of visits and revenue? your 2 7 Because of fluctuations in insurance coverage, the average price paid out of pocket (P) by patients of an urgent care center varied, as the ts table shows. The number of visits per month (Q) also varied, and an analyst believes the two are related. The analyst also thinks the nts data show a trend. Run a regression of Qon P and Period to test nd these hypotheses. Then use the estimated parameters a, b, and c and the values of Month and P to predict Q (number of visits). The prediction equation is Q = a + (b x Month) + (c x P). Month 2 3 4 5 6 7 8 9 10 11 12 $21 $18 $15 $24 $18 $21 $18 $15 $20 $19 $24 $20 193 197 256 179 231 214 247 273 223 225 198 211 9.8 Use the data in Exercise 9.7 to answer these questions: a. Calculate the naive estimator, which is 2, = 21- 1. b. Calculate the two-period moving-average forecast. c. Calculate the mean absolute deviation for the regression forecast, the naive forecast, and the two-period moving-average forecast. d. Which forecast seems to perform the best? Why? 9.9 Sales data are displayed in the table