In choosing the \"best-fitting\" line through a set of points in linear regressi

Question

In choosing the "best-fitting" line through a set of points in linear regression, we choose the one with the: smallest sum of squared residuals largest sum of squared residuals smallest number of outliers largest number of points on the line None of these options The percentage of variation (R^2) can be interpreted as the fraction (or percent) of variation of the explanatory variable explained by the independent variable response variable explained by the regression line explanatory variable explained by the regression line error explained by the regression line

Explanation / Answer

16.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

--------------------------------------------------------------------------------------------------------------------------------------

17. R2 is often interpreted as the proportion of response variation "explained" by the regressors in the model.

So, the answer is option b.

Related Questions

Navigate

• Browse (All)
• Browse I
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.