Designers of backpacks use exotic material to make packs that fit comfortably and distributeweight to eliminate pressure points. For fitting a regression model of price of backpack on thecapacity (cubic inches) and comfort rating of backpacks, a data for 10 backpacks are used.Comfort was measured using a rating from 1 to 5, with a rating of 1 denoting average comfortand a rating of 5 denoting excellent comfort. The output of the regression model is as followson the next page:Residuals:10 Median|-84.12 -27.18 10.61 36.90 48.26Min30МаxCoefficients:Estimate Std. Error t value Pr (>|t|)(Intercept) 356.12083 197.174011.806 0.113859xl-0.098740.04588 -2.152 0.068372 .x2122.8672121.799755.636 0.000786 ***Signif. codes: 0 **** o.001 *** 0.01 ** 0.05 '.' 0.1 '' 1Residual standard error: 51.14 on 7 degrees of freedomMultiple R-squared: 0.8318,F-statistic: 17.31 on 2 and 7 DF, p-value: 0.00195Adjusted R-squared: 0.7838a. Determine the estimated regression equation that can be used to predict the price of abackpack given the capacity and the comfort rating.b. Interpret the model.c. Predict the price for a backpack with a capacity of 4500 cubic inches and a comfortrating of 4.d. Comment on goodness of fit of the model.

Designers of backpacks use exotic material to make packs that fit comfortably and distribute weight to eliminate pressure points. For fitting a regression model of price of backpack on the capacity (cubic inches) and comfort rating of backpacks, a data for 10 backpacks are used. Comfort was measured using a rating from 1 to 5, with a rating of 1 denoting average comfort and a rating of 5 denoting excellent comfort. The output of the regression model is as follows on the next page:

Designers of backpacks use exotic material to make packs that fit comfortably and distribute weight to eliminate pressure points. For fitting a regression model of price of backpack on the capacity (cubic inches) and comfort rating of backpacks, a data for 10 backpacks are used. Comfort was measured using a rating from 1 to 5, with a rating of 1 denoting average comfort and a rating of 5 denoting excellent comfort. The output of the regression model is as follows on the next page:

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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