Can someone answer the PI's questions Please?

k Values 20 10 PI- Quantitatively explain the linear graph. Specifically, how did your group extract the k value of etch vs the spring from the linear fit of the data? plotting DA- One of these plots is not linear and needs to be explained qualitatively. You do not need to calculate numbers, but you do need to explain the patterns that are appearing in the data. PI- Do your results for Task 1 and Task 2 agree with each other? If not how large of a systematic uncertainty exists between your two methods?\fTask 2 Acceleration of friction (From Lab 3): 0.05 Time Position Velocity Acceleration Correction for friction Stretch .05 0.60974 0.2092078 1.391854198 1.441854198 0.28874 0.1 0.601478 0.2724256 -1.508868025 1.558868025 0.280478 0.15 0.586534 -0.359287 -1.544593333 1.594593333 0.265534 0.2 0.565429 0.4426789 -1.326368704 -1.376368704 0.244429 0.25 0.540228 0.4967844 0.986610864 1.036610864 0.219228 0.3 0.514957 0.5302561 0.75043284 0.80043284 0.193957 0.35 0.489235 -0.5857028 0.22965679 -0.27965679 0.168235 0.4 0.453411 0.5808828 0.778179321 0.728179321 0.132411 0.45 0.427064 0.4951894 1.591840432 1.541840432 0.106064 0.5 0.40457 0.4052061 2.094885494 2.044885494 0.08357 0.55 0.385339 -0.2858317 2.513308642 2.463308642 0.064339 0.6 0.374873 0.1456467 2.733786728 2.683786728 0.053873 0.65 0.371003 -0.0048372 2.779893519 2.729893519 0.050003 0.7 0.37437 0.13598111 2.698256173 2.748256173 0.05337 0.75 0.384524 0.273115 2.433012963 2.483012963 0.063524 0.8 0.402835 0.38711222 1.988642901 2.038642901 0.081835 0.85 0.42453 0.47118278 1.490164815 1.540164815 0.10353 0.9 0.449714 0.54553667 0.798834568 0.848834568 0.128714 0.95 9.481719 0.56344333 0.092115123 0.042115123 0.160719 1 0.509003 0.52147278 0.720259568 0.670259568 0.188003 1.05 0.533285 0.47759056 -1.090271605 1.040271605 0.212285 1.1 0.557167 0.41865667 -1.523966975 1.473966975 0.236167 1.15 0.576728 0.32803056 -1.987266667 1.937266667 0.255728 1.2 0.590874 0.21463111 2.34594784 2.29594784 0.269874 1.25 0.598701 0.08686778 2.544504938 -2 494504938 0.277701 1.3 0.599847 -0.0472089 -2.551876852 2.601876852 0.278847 1.35 0.593824 -0.1770539 2.344923765 -2.394923765 0.272824 1.4 0.581484 0.2896389 1.957705864 2.007705864 0.260484 1.45 0.563815 0.3772428 -1.48709537 1:53709537 0.242815 1.5 0.542102 0.43203 1.113529938 -1.163529938 9.221102 1.55 0.520667 0.4808394 0.835473457 0.885473457 0.199667 1.6 9.494719 -0.5311039 -0.265442593 0.315442593 0.173719 1.65 0.464797 -0.5246428 0.611875309 0.561875309 0.143797 1.7 0.439474 0.4596261 1.317967901 1.267967901 0.118474 1.75 0.418542 -0.3780211 1.742726543 1.692726543 0.097542 1.8 0.401325 -0.2824094 2.061699383 2.011699383 0.080325 1.85 0.389817 0.1741756 2.366893519 2.316893519 0.068817 1.9 0.382562 0.0405478 2.542139815 2.492139815 0.061562 1.95 0.385721 0.09457111 2.429479321 2.479479321 0.064721 2 0.393288 0.20625056 2.213407716 2.263407716 0.072288 2.05 0.406531 0.31313056 1.98764784 2.03764784 0.085531 2.1 0.424877 0.40755 1.649258951 1.699258951 0.103877 2.15 0.446833 0.49863 0.921887654 0.971887654 0.125833 2.2 0.47856 0.51334667 0.045217284 0.004782716 0.15756 2.25 0.500777 0.47245389 -0.630025926 0.580025926 0.179777 2.3 0.524937 0.43550833 0.919968827 0.869968827 0.203937 2.35 0.544879 0.38344944 1.214709568 1.164709568 0.223879 2.4 0.563763 0.31959 -1.597725309 1.547725309 0.242763