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4. Driver Rufus keeps a record of a shift's worth of deliveries for BFD in the table below and then computes the sample statistics: if the number of servings are the {₁} data and the order cost is the {y} data, then I = 4.1250, ≈ 16.6213, S≈ 2.2321, Sy 7.4167, and the correlation coefficient is r≈ 0.9420. Build a linear regression model and use that model to predict the cost for an order that has 3 servings.5

4. Driver Rufus keeps a record of a shift's worth of deliveries for BFD in the table below and then computes the sample statistics: if the number of servings are the {₁} data and the order cost is the {y} data, then I = 4.1250, ≈ 16.6213, S≈ 2.2321, Sy 7.4167, and the correlation coefficient is r≈ 0.9420. Build a linear regression model and use that model to predict the cost for an order that has 3 servings.5

MATLAB: An Introduction with Applications
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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4. Driver Rufus keeps a record of a shift's worth of deliveries for BFD in the table below and then computes the sample statistics: if the number of servings are the {x} data and the order cost is the {y} data, then I = 4.1250, ≈ 16.6213, s≈ 2.2321, Sy≈ 7.4167, and the correlation coefficient is r≈ 0.9420. Build a linear regression model and use that model to predict the cost for an order that has 3 servings.5 servings cost 1 2 2 4 3.43 12.25 9.89 20.85 5 17.87 So 6 6 22.71 20.85 our lingar rog 7 25.12 lin
Transcribed Image Text:4. Driver Rufus keeps a record of a shift's worth of deliveries for BFD in the table below and then computes the sample statistics: if the number of servings are the {x} data and the order cost is the {y} data, then I = 4.1250, ≈ 16.6213, s≈ 2.2321, Sy≈ 7.4167, and the correlation coefficient is r≈ 0.9420. Build a linear regression model and use that model to predict the cost for an order that has 3 servings.5 servings cost 1 2 2 4 3.43 12.25 9.89 20.85 5 17.87 So 6 6 22.71 20.85 our lingar rog 7 25.12 lin
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