If two linear regression models have the same number of explanatory variables, a model with an r2 value of 0.45 is a better prediction model than a model with an r2 value of 0.65.
true
false

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.

sweetheart, there isn't a cube below.

i don't even know how to read that, ill try to do it if you translate it into english.