Asked by ballsax hudini on Jul 15, 2024

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In regression analysis, the unbiased estimate of the variance is

A) coefficient of correlation.
B) coefficient of determination.
C) mean square error.
D) slope of the regression equation.

Unbiased Estimate

A statistical estimate that is equally likely to be above or below the true population parameter, showing no systematic error.

Variance

A measure of variability that describes the average of the squared differences from the mean for a set of data.

Coefficient Of Determination

A measure, often denoted as R^2, that indicates the proportion of the variance in the dependent variable predictable from the independent variable(s).

  • Acquire knowledge on the computation and interpretation of the mean square error (MSE) along with its relevance in regression studies.
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CH
Cassie HerringJul 18, 2024
Final Answer :
C
Explanation :
The mean square error (MSE) is used as an unbiased estimate of the variance of the residuals in regression analysis. It measures the average of the squares of the errors or deviations—that is, the difference between the estimator and what is estimated.