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A Flexible,circular Conducting Loop of Radius 0

question 71

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A flexible,circular conducting loop of radius 0.15 m and resistance 4.0 A flexible,circular conducting loop of radius 0.15 m and resistance 4.0   lies in a uniform magnetic field of 0.25 T.The loop is pulled on opposite sides by equal forces and stretched until its enclosed area is essentially zero m²,as suggested in the drawings.It takes 0.30 s to close the loop.    -Which one of the following phrases best describes the direction of the induced magnetic field generated by the current induced in the loop while the loop is being stretched? A) clockwise B) counterclockwise C) into the page D) out of the page E) The induced field is zero. lies in a uniform magnetic field of 0.25 T.The loop is pulled on opposite sides by equal forces and stretched until its enclosed area is essentially zero m²,as suggested in the drawings.It takes 0.30 s to close the loop.
A flexible,circular conducting loop of radius 0.15 m and resistance 4.0   lies in a uniform magnetic field of 0.25 T.The loop is pulled on opposite sides by equal forces and stretched until its enclosed area is essentially zero m²,as suggested in the drawings.It takes 0.30 s to close the loop.    -Which one of the following phrases best describes the direction of the induced magnetic field generated by the current induced in the loop while the loop is being stretched? A) clockwise B) counterclockwise C) into the page D) out of the page E) The induced field is zero.
-Which one of the following phrases best describes the direction of the induced magnetic field generated by the current induced in the loop while the loop is being stretched?


Definitions:

Holt-Winters Additive Model

A forecasting technique that extends exponential smoothing to capture seasonality and trend in time series data.

Seasonality

Periodic fluctuations in data or phenomena that occur regularly based on a season, quarter, month, etc.

Mean Absolute Deviation

The average of the absolute differences between each data point and the mean of the data set.

Root Mean Square Error

A measure of the differences between values predicted by a model and the values actually observed, expressed as the square root of the mean of these differences squared.

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