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Given the least-squares regression line, how many seconds does the model predict for a 7-foot pendulum to complete one period?

a) 1.1 seconds
b) 3.1 seconds
c) 4.2 seconds
d) 13.2 seconds

User Tjollans
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1 Answer

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Final answer:

To predict the period of a 7-foot pendulum, the period formula T = 2πsqrt(L/g) is used. Since none of the options perfectly match the calculated value, option b) 3.1 seconds is the closest one.

Step-by-step explanation:

To predict the period of a pendulum using the least-squares regression line, we would typically need the equation of the line and the value for which we want to predict the period. However, this can also be done using the formula for the period of a pendulum, which is T = 2πsqrt(L/g), where T is the period, L is the length of the pendulum, and g is acceleration due to gravity. Without the regression line equation, a general physics principle can be applied: the period of a pendulum is proportional to the square root of its length.

According to the formula, a pendulum which is 1.00 meters long has a period of approximately 2.00 seconds. The period of a pendulum increases with the square root of the length, meaning that as you increase the length of the pendulum, the period increases. A 4.00-meter-long pendulum would have a period of approximately 4.00 seconds, which is twice as long as the 1.00-meter pendulum. Doubling the length of the pendulum does not double the period; it increases by the square root of 2 (approximately 1.41 times).

Considering this, a 7-foot pendulum (which is approximately 2.1336 meters long) would have a period that is approximately sqrt(2.1336) times longer than that of a 1.00-meter pendulum. Since sqrt(2.1336) is roughly 1.46 and the period of a 1.00-meter pendulum is around 2.00 seconds, we would expect the 7-foot pendulum to complete one period in around 2.00 * 1.46 = 2.92 seconds. Therefore, none of the options a) 1.1 seconds, b) 3.1 seconds, c) 4.2 seconds, or d) 13.2 seconds would be accurate. It is important to consider this when selecting the predicted time, which could lead to the conclusion that option b) 3.1 seconds is the closest to the predicted value.

User Kazmin
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