The accompanying table provides data for the sex, age, and weight of bears. For sex, let 0 represent female and let 1 represent male. Letting the response (y) variable represent weight, use the dummy variable of sex and the variable of age and to find the multiple regression equation. Use the equation to find the predicted weight of a bear with the characteristics given below. Does sex appear to have much of an effect on the weight of a bear? X a. Female bear that is 21 months of age b. Male bear that is 21 months of age Click the icon to view the bear measurement data. Find the multiple regression equation with weight as the response variable and the dumn Weight=+ Sex Sex + + ( Age (Round to one decimal place as needed.) Bear Measurement Data Sex (1=M) 1 1 1 1 0 0 1 1 0 0 1 1 0 1 0 1 1 0 Age (Months) 18 55 80 115 103 103 55 48 54 55 65 8 47 29 22 29 46 12 Weight 72 336 415 346 165 221 260 351 214 147 328 31 144 176 107 157 196 16 D -

The accompanying table provides data for the sex, age, and weight of bears. For sex, let 0 represent female and let 1 represent male. Letting the response (y) variable represent weight, use the dummy variable of sex and the variable of age and to find the multiple regression equation. Use the equation to find the predicted weight of a bear with the characteristics given below. Does sex appear to have much of an effect on the weight of a bear? X a. Female bear that is 21 months of age b. Male bear that is 21 months of age Click the icon to view the bear measurement data. Find the multiple regression equation with weight as the response variable and the dumn Weight=+ Sex Sex + + ( Age (Round to one decimal place as needed.) Bear Measurement Data Sex (1=M) 1 1 1 1 0 0 1 1 0 0 1 1 0 1 0 1 1 0 Age (Months) 18 55 80 115 103 103 55 48 54 55 65 8 47 29 22 29 46 12 Weight 72 336 415 346 165 221 260 351 214 147 328 31 144 176 107 157 196 16 D -

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Beachcomer Ltd is a local car dealership that sells used and new vehicles. The manager of the company wants to know how different variables affect the sales of his vehicles. A random sample of yearly data was taken with the view to testing the model. SALES = a+BAGE + yMIL + SENG Where SALES = amount that a vehicle is sold for (000's), AGE = age of vehicle, MIL= the total mileage of the vehicle at the point of sale and ENG = the size of the engine. The sample of data was processed using MINITAB and the following is an extract of the output obtained: The regression equation is ***** Coef StDev t-ratio p-value Predictor Constant 1.7586 0.2525 6.9648 0.0000 AGE 0.2124 0.3175 * 0.5042 MIL -0.7527 0.3586 -2.0991 ** ENG 4.8124 0.6196 7.7664 0.0000…
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Beachcomer Ltd is a local car dealership that sells used and new vehicles. The manager of the company wants to know how different variables affect the sales of his vehicles. A random sample of yearly data was taken with the view to testing the model. SALES = a+BAGE + yMIL + SENG Where SALES = amount that a vehicle is sold for (000's), AGE = age of vehicle, MIL= the total mileage of the vehicle at the point of sale and ENG = the size of the engine. The sample of data was processed using MINITAB and the following is an extract of the output obtained: The regression equation is ***** Coef StDev t-ratio p-value Predictor Constant 1.7586 0.2525 6.9648 0.0000 AGE 0.2124 0.3175 * 0.5042 MIL -0.7527 0.3586 -2.0991 ** ENG 4.8124 0.6196 7.7664 0.0000…
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