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(127. [16.19 of 5\". edition). For the US oil and gas industry, an analysis has been done of the percentage of industry employees who work at retail stations versus those who work in the wholesale products and transportation sectors. The output below relates to a multiple regression equation tted to a 12-year series of data with RETLPC'I' (Retail Percentage) as the dependent variable). PREDICTOR \"mi-mm- consmm Ital-\"mum- WHOLEPCT EE- 0-4495 -E_ EEEE use we EarInm m IEEEEIE-_ 146-690 amen _ was we nan.1 moss [Hint: Write the information in the table as a multiple regression equation.] (a) If 13% of all oil and gas employees are in the wholesale sector (WHOLEPCT=13.D} and 11% are in the transportation sector, what is the expected percentage who will be in the retail station sector? (b) Given the information in part (a), what is the approximate 95% confidence interval for the conditional mean of RETLPCT? o What is the formula? 0 Where is information on the value for 5, given in the above table? . What are the degrees of freedom FD.9!'9'E 39 nd the t value in the tables? What is the t-value? o What then is the answer? (c) Given the information in part (a), what is the approximate 95% prediction interval for RETLPCT