Why is R2 a commonly used and perhaps better measure of how well a regression mo

Question

Why is R2 a commonly used and perhaps better measure of how well a regression model fit the data than the residual s Select one: 1. The RSS is often too large 2. The RSS does not depend on the scale of the dependent variable whereas the R2 does 3. The RSS depends on the scale of the dependent variable whereas the R2 does not 4. The RSS depends on the scale of the independent variable whereas the R2 does not Which one of the folowing is the most approprate as a definiltion ot R2 in the context that the term is usually used? Select one: 1. t is the proportion of the toral variability of y that is explaned by the mode 2. it is the proportion of the tosat varialelity of y abour ls nean vatius hat is explained by the modiel 3. t 4. it is the correlation between thie What is the long run Seect s. to ths Under MacBook Air

Explanation / Answer

All the questions are correct.

(Question 3 is not clear as visibility is poor)

R squared is on the mean (Question 2)

RSS is not dependent on the scale, where as R squared is (Question 1)

Multicorreliearily by definitaion is option 2 (Question 4)

Would require a better image for confirming Q-3

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