Construct a scatterplot and identify the mathematical model that best fits the data. Assume that the model is to be used only for the scope of the given data and consider only linear, quadratic, logarithmic, exponential, and power models. Use a calculator or computer to obtain the regression equation of the model that best fits the data. You may need to fit several models and compare the values of R². The table below shows the weight of crops of oranges and the resulting gallons of juice. Using the weight as the independent variable, find the regression equation of the best model. x (pounds of oranges). 4321 5012 5239 5366 8978 25413 y (gallons of orange juice) 341.3 391.5 399.6 417.2 656.1 1927.3 Oy=-13.07 +0.079x Oy=264.43 el.0001x Oy=-7511.9+923.99 In x Oy=0.079x0.998
Construct a scatterplot and identify the mathematical model that best fits the data. Assume that the model is to be used only for the scope of the given data and consider only linear, quadratic, logarithmic, exponential, and power models. Use a calculator or computer to obtain the regression equation of the model that best fits the data. You may need to fit several models and compare the values of R². The table below shows the weight of crops of oranges and the resulting gallons of juice. Using the weight as the independent variable, find the regression equation of the best model. x (pounds of oranges). 4321 5012 5239 5366 8978 25413 y (gallons of orange juice) 341.3 391.5 399.6 417.2 656.1 1927.3 Oy=-13.07 +0.079x Oy=264.43 el.0001x Oy=-7511.9+923.99 In x Oy=0.079x0.998
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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