Regression predicting time-period of a pendulum in relation to its varying length
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We applied the regression analysis techniques to the data obtained from a simple pendulum experiment. Our data consist of a series of combinations of different variables, weight, length, angle, and period of oscillation. This data is investigated the least-squares linear regression analysis. The estimated model satisfies all the conditions of a best regression model. We found that there is statistically significant positive relationship between time and the other variables length and initial angle.
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