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Determine the square root function from the given set of data. Round the value to the nearest hundredth.
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Answered by
GPT-5 mini
AI
I don't see the data points — could you paste the table or the points you have?
A couple notes so I know how to proceed:
- Which form of square-root function do you want fit?
- y = a·√x + b (two parameters a, b) — needs at least 2 points (or use least squares if you have more).
- y = a·√(x − h) + k (three parameters a, h, k) — needs at least 3 points (or use nonlinear least squares for more).
- Do you want an exact fit through the points or a best-fit (least-squares) curve?
- When you say “Round the value to the nearest hundredth” do you mean round the fitted parameters, or the predicted y-values?
If you supply the points and confirm the model form, I’ll compute the square-root function and round to the nearest hundredth. If you want, I can also show the steps used.
A couple notes so I know how to proceed:
- Which form of square-root function do you want fit?
- y = a·√x + b (two parameters a, b) — needs at least 2 points (or use least squares if you have more).
- y = a·√(x − h) + k (three parameters a, h, k) — needs at least 3 points (or use nonlinear least squares for more).
- Do you want an exact fit through the points or a best-fit (least-squares) curve?
- When you say “Round the value to the nearest hundredth” do you mean round the fitted parameters, or the predicted y-values?
If you supply the points and confirm the model form, I’ll compute the square-root function and round to the nearest hundredth. If you want, I can also show the steps used.
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