Please don't do using python. Just do hand calculation. I want to know how to do regression.

Table 1 has two columns: the first displays how many seconds it took to fill two liters of the volumetric asin; the second displays the corresponding RPM generated by a turbine flowmeter. (Refer to the lab nanual or your lecture notes for more details). a. Find the calibration equation relating frequency to flow rate in liters /min,Q=kf b. Report the uncertainty in your regression using either the standard error of the fit and Student's t-tables, or the covariance matrix from Python's curve fit Table 1: Calibration Data for Turbine Flowmeter