Minimize distance between three points.

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The discussion focuses on minimizing the sum of the squares of the vertical distances from the points (1,1), (2,2), and (3,2) to the line defined by the equation y=mx. Participants emphasize that the x-values will cancel out, allowing the problem to be simplified to a function of m. The goal is to derive an equation representing the sum of squared vertical distances and then minimize this function using single-variable calculus techniques.

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  • Knowledge of minimizing functions
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  • Learn how to derive and minimize functions using calculus
  • Study the concept of vertical distances in coordinate geometry
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Find the value of m such that the sum of the squares of the vertical distances from each of the points (1,1) , (2,2) , and (3,2) to the line y=mx is minimized. Hint: Find the sum as a function of m (no x in the expression) and then minimize it.



Distance equation. d=[itex]\sqrt{(x_{1}-x_{2})^{2}+(y_{1}-y_{2})^{2}}[/itex]



So, our professor made it easier on use and since we have single variable calculus the distance to be found is vertical to the line y=mx. Therefore, the x values will cancel out and we will only be interested in the y values. With this knowledge I set out and tried to set up an equation for the distance formula for each of the values given; but, x values were given in the equation I used for the distance values when I subbed the y value for mx. I'm not sure how to juggle these three equations. How would you proceed with solving this equation. Thank you.
 
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Can you show what you did?

I'm not sure how to juggle these three equations.
Add them. The sum of the squared distances should be minimized.
 
How would you express the vertical distance between a given point [tex](x_{1},y_{i})[/tex] and a point on the line y=mx. (hint, what is the vertical distance between the y values ?).
 

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