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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 R value is 0.925. If an additional predictor variable of neck size (in.) is included, the P-value becomes 0.000 and the adjusted R- becomes 0.933. Why is it better to use values of adjusted R instead of simply using values of RZ? Choose the correct answer below. O A. The unadjusted R- decreases or remains the same as more variables are included, but the adjusted R" is adjusted for the number of variables and sample size. O B. The unadjusted R" increases or remains the same as more variables are included, but the adjusted R is adjusted for the number of variables and sample size. C. The unadjusted R- can only be calculated for regression equations with two or fewer predictor variables, while the adjusted R" can be calculated for regression equations with any number of predictor variables. D. The unadjusted R can only be calculated for regression equations with P-values greater than 0, while the adjusted R" can be calculated for regression equations with any manner of P-valueThe table shown below lists the cost y (in dollars) of purchasing cubic yards of red landscaping mulch. The variable x is the length (ft) of each side of a cubic yard. Construct a scatterplot and identify the mathematical model that best fits the given data. x (ft) 1 2 3 4 5 6 y (dollars) 6.8 9.8 12.8 15.8 18.8 21.8 Choose the correct scatterplot below. O A. O B. O C. OD. 30- 30- 30- 30- 20- 20- 20- 20- 10- 10- 10- 10- 2 6 4 6 What is the equation of the best model? Select the correct choice below and fill in the answer boxes to complete your choice. Enter only nonzero values. (Type integers or decimals rounded to three decimal places as needed.) O A. y= (0 O B. y= x O c. y= x2 + ( ) * +(D OD. y=+ ( ) x O E. y=+ ( ) Inx