Residual analysis refers to the process of:
A. examining individual observations to see whether the actual value of a dependent variable differs from the predicted value.
B. calculating the squared sum of residuals to draw inferences for the consistency of estimates.
C. transforming models with variables in level to logarithmic functions so as to understand the effect of percentage changes in the independent variable on the dependent variable.
D. sampling and collection of data in such a way to minimize the squared sum of residuals.
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If a new independent variable is added to a regression equation, the adjusted R2 increases only if the absolute value of the t statistic of the new variable is greater than one.
A. 对
B. 错
F statistic can be used to test nonnested models.
A. 对
B. 错
Predictions of a dependent variable are subject to sampling variation.
A. 对
B. 错
To make predictions of logarithmic dependent variables, they first have to be converted to their level forms.
A. 对
B. 错