Asked by Jamie Illasarie on May 16, 2024

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In a regression setting, which, if any, of the following is not an assumption about the random error In a regression setting, which, if any, of the following is not an assumption about the random error   ? A)  The errors are linearly correlated. B)  The errors are normally distributed with a mean of 0 and a common variance. C)  The errors are independent in a probabilistic sense. D)  All of these are assumptions about the random error. E)  None of these. ?

A) The errors are linearly correlated.
B) The errors are normally distributed with a mean of 0 and a common variance.
C) The errors are independent in a probabilistic sense.
D) All of these are assumptions about the random error.
E) None of these.

Random Error

Variability in data that is caused by unpredictable and unavoidable fluctuations in the measurement process.

Linearly Correlated

A statistical relationship between two variables in which changes in one variable are associated with proportional changes in another variable along a straight line.

Normally Distributed

Describes a symmetric, bell-shaped distribution of data where the mean, median, and mode are equal, prevalent in many natural phenomena.

  • Acquire knowledge on the reduction of errors within regression analysis and grasp the essence of the least squares technique.
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EM
Edgar MorenoMay 17, 2024
Final Answer :
A
Explanation :
The assumption that the errors are linearly correlated is not a necessary assumption in a regression setting. However, it is important to check for any patterns or trends in the residuals to ensure there is no violation of this assumption. The other three options (normal distribution, zero mean, and independence) are all important assumptions that are necessary for valid inference and interpretation in a regression analysis.