Short Answer
The least squares equation is considered to be a better predictor of than the least squares equation , if the multiple correlation coefficient is __________ than the absolute value of the correlation coefficient involving and .
Correct Answer:

Verified
Correct Answer:
Verified
Q15: The sample coefficient <span class="ql-formula"
Q16: If <span class="ql-formula" data-value="r"><span class="katex"><span
Q17: The sum <span class="ql-formula" data-value="\sum(y-\bar{y})^{2}"><span
Q18: If all data points lie on
Q19: If the correlation between <span
Q21: In order to find the correlation coefficient,
Q22: If the hypothesis that <span
Q23: The hypothesis of no correlation between
Q24: The variables circulation <span class="ql-formula"
Q25: The value <span class="ql-formula" data-value="r^{2}"><span