Spinning Bar

Use the data shared in this spreadsheet, along with the instructions on how to do a reduced $\backslash (\backslash$chi$^\{2\}\backslash )$ analysis that are shared on Canvas.

$1.$ Use "curve fit" on LoggerPro to do a linear fit to the data that takes the error bars into account. Report your fit parameters and uncertainties, along with the appropriate units for these constants.

$2.$ Calculate the reduced $\backslash (\backslash$chi$^\{2\}\backslash )$ for this fit. the saame data with a decaying exponential fit of the form

$\backslash [$

y$=$A e$^\{-$B x$\}.$

$\backslash ]$

Note that there is no constant term. You will have to define a custom function on LoggerPro to achieve this. Again, report your fit parameters, with units.

$3.$ Calculate the reduced $\backslash (\backslash$chi$^\{2\}\backslash )$ for this fit as well.

$4.$ Which fit better models the data? How do you tell?

$5.$ Using each fit, calculate how long it will take for the spinning bar to slow to $\backslash (10\backslash \%\backslash )$ of its initial angular velocity. Which calculation do you trust?