to use the data just as you had it in Excel to get the acceleration directly from the time and position data. The polynomial equation appears on the graph, and y horizontal axis is called x by Excel, time axis in the case of our data. The Just as it was in DataStudio, but we know that it is actually the coefficient of the squared term is a because we are fitting to the position curve dd+,ttar. Using a copy of the table given below, quote your value of the acceleration from the Excel polynomial fit, and compare it to the other values that you obtained from your data, including the average value obtained in Step P6, and the theoretical value of g sin(O) (remember to use the accepted value of g, which is given on your Data Sheet, and the value of 0 that you calculated from the measurements you took) Acceleration Value m/sec2 Value of g sin(e) Acceleration (from Excel polynomial) a(Ex) Acceleration (Curve-fit in DataStudio a(Cu) Acceleration (average from Step P6) a(Av) a(Th)- Explain your results and show how the acceleration values in the above table are obtained. How d these values compare to cach other? Compute the percentage deviations of the three compute calculated values from the theoretical value, a(Th). If your three values in the table disagr ignificantly, you should comment on the source of the errors. Compare your average accelerati alue to that obtained from the Excel polynomial in Step P5. Do they agree? Should they? If n xplain why they disagree. to use the data just as you had it in Excel to get the acceleration directly from the time and position data. The polynomial equation appears on the graph, and y horizontal axis is called x by Excel, time axis in the case of our data. The Just as it was in DataStudio, but we know that it is actually the coefficient of the squared term is a because we are fitting to the position curve dd+,ttar. Using a copy of the table given below, quote your value of the acceleration from the Excel polynomial fit, and compare it to the other values that you obtained from your data, including the average value obtained in Step P6, and the theoretical value of g sin(O) (remember to use the accepted value of g, which is given on your Data Sheet, and the value of 0 that you calculated from the measurements you took) Acceleration Value m/sec2 Value of g sin(e) Acceleration (from Excel polynomial) a(Ex) Acceleration (Curve-fit in DataStudio a(Cu) Acceleration (average from Step P6) a(Av) a(Th)- Explain your results and show how the acceleration values in the above table are obtained. How d these values compare to cach other? Compute the percentage deviations of the three compute calculated values from the theoretical value, a(Th). If your three values in the table disagr ignificantly, you should comment on the source of the errors. Compare your average accelerati alue to that obtained from the Excel polynomial in Step P5. Do they agree? Should they? If n xplain why they disagree