<span>0.833333333333333 is the answer</span>
Answer:
52 minutes
Step-by-step explanation:
Equation:
So 52 minutes.
Hope this helps plz hit the crown :D
Answer:
False
Step-by-step explanation:
Given that two linear regression models have the same number of explanatory variables
First model has coefficient of determination as 0.45 while other
0.65
we know that R^2 is the proportion showing the variation of dependent because of variation in independent variables.
Hence a higher R square is always better because it ensures more linearity and hence more accuracy in the regression equation.
Hence 0.65 model is better than 0.45 model.
The given statement is false.
Answer:
B
Step-by-step explanation:
Hope the picture helps!
