Artificial intelligent assistant

Fitting a curve - trending line formula In OSX Numbers I have a chart with these data points: 50 53 100 62 200 78 300 91 500 117 1000 192 2000 297 3000 412 5000 567 10000 990 Using the trending line option I see that an exponential formula works well and is given as: 35.907e^(0.3498x) However when I run this formula using Y values I get nowhere near X. With 50 I get something like 1.5 billion for X. I am a little rusty on my math so perhaps interpreting it wrong. Is this formula a correct approximation?

As mfl commented, a linear fit $y=a+bx$ looks more appropriate than $y=ae^{bx}$.

For the linear model, as already given by mfl, we should get $$y=76.6228+0.0944818 x\qquad SSQ=7363.8\qquad R^2=0.995485$$

Because of the curvature for low values of $x$, a better fit could be obtained using $y=a+bx^c$. For such a case $$y=37.6705+0.57678 x^{0.804092}\qquad SSQ=485.984\qquad R^2=0.999702$$ which is definitively much better.

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