linear regression {(1, log(200)), (2, log(302)), (3, log(420)), (4, log(528)), (5, log(648)), (6, log(780)), (7, log(1140)), (8, log(1560))} - Wolfram|Alpha

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Assuming "log" is the natural logarithm | Use the base 10 logarithm instead

Input interpretation:

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Least-squares best fit:

link to /input/?i=5.11875%2B0.274792+x&lk=1&a=ClashPrefs_*Math-
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Fit diagnostics:

link to /input/?i=-14.4781&lk=1&a=ClashPrefs_*Math-link to /input/?i=-14.2397&lk=1&a=ClashPrefs_*Math-link to /input/?i=0.988709&lk=1&a=ClashPrefs_*Math-link to /input/?i=0.986827&lk=1&a=ClashPrefs_*Math-
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Plot of the residuals:

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