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Problem 1. Create a vector representing x coordinates of a measurement with 20 points between 0 and 10. Create another vector y representing fake measurements which are related to the above x values as y = 2.3 x - 1.2. Next add random (normal, Gaussian) noise to the vector y. Plot on the same graph both versions of vector y in different colors. Next use attached linregr.m function to find a least square fit (linear regression) for your fake experimental data.
Problem 2. Create a three dimensional diagram of function z = (x-2)2 + (y-3)3.
Capture the matlab code in a text file.
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The Colon Operator: If the values in the vector are regularly spaced, the colon operator is used to iterate through these values. For illustration, 1:5 results in all the inte
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