In choosing the "best-fitting" line through a set of points in linear regression,we choose the one with the
A) smallest sum of squared residuals.
B) largest sum of squared residuals.
C) smallest number of outliers.
D) largest number of points on the line.
Correct Answer:
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Q65: The regression line Q66: In linear regression,we fit the least squares Q67: The adjusted R2 adjusts R2 for Q68: Approximately what percentage of the observed Y Q69: In multiple regression,the coefficients reflect the expected Q71: Given the least squares regression line, Q72: The weakness of scatterplots is that they Q73: The percentage of variation ( Q74: In multiple regression,the constant Q75: The multiple standard error of estimate will
A)non-linearity.
B)outliers.
C)low correlation.
D)the
A)do
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