Can you please help me with this question?

Using the lengths (in.), chest sizes (in.), and weights (lb) of bears from a data set, the resulting regression equation is Weight= - 274 + 0.426 Length + 12.1 Chest Size. The P-value is 0.000 and the adjusted R2 value is 0.925. If an additional predictor variable of neck size (in.) is included, the P-value becomes 0.000 and the adjusted R2 becomes 0.933. Why is it better to use values of adjusted R2 instead of simply using values of R2? Choose the correct answer below. 0 A- The unadjusted R2 increases or remains the same as more variables are included, but the adjusted R2 is adjusted for the number of variables and sample size. 0 B- The unadjusted R2 can only be calculated for regression equations with two or fewer predictor variables, while the adjusted R2 can be calculated for regression equations with any number of predictor variables. 0 C. The unadjusted R2 can only be calculated for regression equations with P-values greater than 0, while the adjusted R2 can be calculated for regression equations with any manner of P-value. O D- The unadjusted R2 decreases or remains the same as more variables are included, but the adjusted R2 is adjusted for the number of variables and sample size