MHB Jordan's Question from Facebook (About Regression)

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To analyze the model y = A + B e^x, it is suggested to transform the data by setting X = e^x, which simplifies the equation to a linear form y = A + B X. This transformation allows for the application of linear least squares regression on the new dataset X against y. Evaluating e^x at each point x generates the necessary data for this regression analysis. The discussion emphasizes the effectiveness of this method for fitting the model. Overall, this approach provides a straightforward way to handle non-linear relationships in regression analysis.
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Jordan from Facebook writes:

Help please,

2yod9uh.jpg
 
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Sudharaka said:
Jordan from Facebook writes:

Help please,

2yod9uh.jpg

If we assume that a model of the form [math]\displaystyle \begin{align*} y = A + B\,e^{x} \end{align*}[/math] is appropriate, then we note that if we have [math]\displaystyle \begin{align*} X = e^{x} \end{align*}[/math], then we have a nice linear equation [math]\displaystyle \begin{align*} y = A + B\,X \end{align*}[/math].

So it would help to start by evaluating [math]\displaystyle e^x [/math] at each point x, giving a new set of data which we can call X. Then perform a linear least squares regression for data set y against data set X.
 
Here is a little puzzle from the book 100 Geometric Games by Pierre Berloquin. The side of a small square is one meter long and the side of a larger square one and a half meters long. One vertex of the large square is at the center of the small square. The side of the large square cuts two sides of the small square into one- third parts and two-thirds parts. What is the area where the squares overlap?

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