{"id":48760,"date":"2024-04-15T22:45:55","date_gmt":"2024-04-15T22:45:55","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=48760"},"modified":"2024-04-15T22:45:55","modified_gmt":"2024-04-15T22:45:55","slug":"an-estimated-coefficient-which-indicates-degree-by-which-estimated-values-are-affected-by-random-factors-is-known-as","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/an-estimated-coefficient-which-indicates-degree-by-which-estimated-values-are-affected-by-random-factors-is-known-as\/","title":{"rendered":"An estimated coefficient, which indicates degree by which estimated values are affected by random factors is known as"},"content":{"rendered":"

[amp_mcq option1=”standard error of estimated coefficient” option2=”weighted error of estimated coefficient” option3=”average of estimated coefficient” option4=”variance of estimated coefficient” correct=”option1″]<\/p>\n

The correct answer is A. standard error of estimated coefficient.<\/p>\n

The standard error of an estimated coefficient is a measure of the precision of the estimate. It indicates how much the estimate is likely to vary from its true value due to random sampling error. A larger standard error indicates that the estimate is less precise and is more likely to be different from the true value.<\/p>\n

The weighted error of estimated coefficient is not a standard statistical term. It is possible that the question is referring to the standard error of the estimate, which is a measure of the precision of the overall regression model. However, the standard error of the estimate is not a measure of the precision of any individual coefficient.<\/p>\n

The average of estimated coefficient is not a standard statistical term. It is possible that the question is referring to the mean of the estimated coefficients, which is a measure of the central tendency of the coefficients. However, the mean of the coefficients is not a measure of the precision of any individual coefficient.<\/p>\n

The variance of estimated coefficient is a measure of the variability of the estimated coefficients. It indicates how much the coefficients are likely to vary from their mean value. A larger variance indicates that the coefficients are more variable and are more likely to be different from their mean value.<\/p>\n

In conclusion, the correct answer is A. standard error of estimated coefficient.<\/p>\n","protected":false},"excerpt":{"rendered":"

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