Multiple Choice
In regression analysis,the variable we are trying to explain or predict is called the
A) independent variable
B) dependent variable
C) regression variable
D) statistical variable
Correct Answer:
Verified
Correct Answer:
Verified
Q7: In multiple regression,the regression coefficients reflect the
Q8: A model that uses temperature,season of the
Q9: The percentage of variation explained R<sup>2</sup> is
Q11: Exhibit 13-2<br>The station manager of a local
Q13: The term autocorrelation refers to<br>A)the analyzed data
Q13: Exhibit 13-3<br>The quarterly numbers of applications for
Q15: The adjusted R<sup>2</sup> adjusts R<sup>2</sup> for:<br>A) non-linearity <br>B) outliers <br>C) low correlation <br>D) the
Q16: The adjusted R<sup>2</sup> is used primarily to
Q24: The residual is defined as the difference
Q33: A useful graph in almost any regression