Find best-fit line using matrix-vector

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SUMMARY

The discussion centers on finding the best-fit line in the form of y = mx + c using matrix-vector formulation in MATLAB. The user initially sought assistance but later resolved the issue independently. The key takeaway is the application of matrix operations in MATLAB to derive the coefficients m (slope) and c (intercept) from a set of x-y values.

PREREQUISITES
  • Basic understanding of linear regression concepts
  • Familiarity with MATLAB programming environment
  • Knowledge of matrix operations and vector manipulation
  • Understanding of the least squares method for fitting lines
NEXT STEPS
  • Explore MATLAB's built-in functions for linear regression
  • Learn about the least squares method in detail
  • Study matrix-vector multiplication in MATLAB
  • Investigate data visualization techniques in MATLAB for plotting best-fit lines
USEFUL FOR

Students learning MATLAB, data analysts, and anyone interested in implementing linear regression using matrix-vector methods.

DryRun
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I am learning how to use MATLAB and have this problem:
Find the best-fit line of the y= mx + c form. Use matrix-vector formulation. And i am given a table of x-y values.

I have no idea how to proceed. Any help is welcome.
 
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Nevermind, i figured it out.
 

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