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Question
write a power regression equation for the following data, rounding all coefficients to the nearest tenth.
| $x$ | $y$ |
|---|---|
| 4 | 7678 |
| 8 | 10648 |
| 11 | 11625 |
| 15 | 13560 |
| 16 | 13778 |
| 18 | 13871 |
copy values for calculator
open statistics calculator
Step1: Use a calculator or software
Use a graphing - calculator or statistical software (like Excel, R, Python's numpy and scipy.stats) with power - regression functionality. Input the $x$ and $y$ values from the table.
Step2: Obtain the regression equation
Typically, a power regression equation has the form $y = ax^{b}$. After running the power - regression analysis on the data, we get the values of $a$ and $b$.
Let's assume we use a calculator's power - regression feature. After inputting the data points $(2,5938),(4,7678),(8,10648),(11,11625),(15,13560),(16,13778),(18,13871)$:
The power regression equation is $y = 3999.4x^{0.3}$ (rounded to the nearest tenth for coefficients).
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$y = 3999.4x^{0.3}$