An antique collector believes that the price received for a particular item increases with its age and with the number of bidders. The file P10_18.xIsx contains data on these three variables for several recently auctioned comparable items. a. Estimate a multiple regression equation using the given data. Round your answers to two decimal places, if necessary. If your answer is negative number, enter "minus" sign. Auction Price = -1336.7220 + 12.736199 Age + 85.8151 @ Number of Bidders Interpret each of the estimated regression coefficients. Round your answers to two decimal places, if necessary. As the age of the item increases by 1 year, the auction price typically increases by 12.7362 dollars v while holding the number of bidders v constant. As the number of bidders increases by 1, the auction price typically increases by 85.8151 dollars v while holding the age of the item constant. Is the antique collector correct in believing that the price received for the item increases with its age and with the number of bidders? Yes b. Interpret the standard error of estimate se. Round your answer to the nearest whole number, if necessary. The standard error indicates that about 68% of the predictions of the auction price v made using the multiple regression model, will be within v 133 dollars v of the actual auction price Interpret R-. Round your answer to the nearest whole percentage, if necessary. The R-square value indicates that about 1.0 % of the variation in the auction price is explained by the multiple regression model