You are given a set of data to analyze. The commands to load the data are in the first line of the script. Separate the first column and second columns into the variable X and Y respectively. Perform a polynomial least square regression of an order 3: 1. Calculate the coefficients to fit the data and save them in a vector C. 2. Use these coefficient to calcutate fitted y values YFit. 3. Calculate the rsquare value and save it in the variable Rsq. Plot X and Y values. Overlay YFit values in the same plot. Add axis labels and a legend. I
You are given a set of data to analyze. The commands to load the data are in the first line of the script. Separate the first column and second columns into the variable X and Y respectively. Perform a polynomial least square regression of an order 3: 1. Calculate the coefficients to fit the data and save them in a vector C. 2. Use these coefficient to calcutate fitted y values YFit. 3. Calculate the rsquare value and save it in the variable Rsq. Plot X and Y values. Overlay YFit values in the same plot. Add axis labels and a legend. I
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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