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16 CHAPTER 1 Functions and Linear Models Section 1.3 21. a. Let x be the number of large orders of french fries consumed. The amount of fat consumed is given by F ï¨ x ï© ï½ 29 x grams. b. Let y be the number of Big Nâ TastyTM sandwiches consumed. The amount of fat consumed is given by G ï¨ y ï© ï½ 32 y grams. c. The total amount of fat consumed by eating z combination meals is H ï¨ z ï© ï½ ï¨ 32 ï« 29ï© z . b. We have v ï¨t ï© ï½ 7312.5t ï 14,558,975 . v ï¨1999 ï© ï½ 7312.5 ï¨1999 ï© ï 14,558,975 ï½ $58,712.50 c. The linear model was extremely effective at accurately predicting the value of the 1999 MercedesBenz Roadster 2-door SL500. The $212.50 difference between the predicted value of the model and the NADA guide average value was negligible. H ï¨1ï© ï½ ï¨ 32 ï« 29 ï©ï¨1ï© ï½ 61 Only one combination meal may be eaten. Eating more than one will exceed the RDA for fat (at most 65 grams). 23. a. Let t be the production year of the Mercedes-Benz Roadster 2-door SL500TM and let v ï¨ t ï© be the value of the car in 2001. We have v ï¨t ï© t 1998 $51,400 2000 $66,025 The slope of the car value function is 66025 ï 51400 mï½ 2000 ï 1998 ï½ $7312.5 per year We have v ï¨ t ï© ï½ 7312.5t ï« b 51400 ï½ 7312.5 ï¨1998 ï© ï« b b ï½ ï14,558,975 So v ï¨ t ï© ï½ 7312.5t ï 14,558,975 is the linear model for the data. Copyright © Houghton Mifflin Company. All rights reserved.