Refer to the following nonlinear model which relates Wto P. Q, and R. W = app@CRd The computer output for the regression analysis Is; DEPENDENT VARIABLE: LNW R-SQUARE F-RATIO P-VALUE ON F OBSERVATIONS : 18 0. 9023 13. 12 0 . 0001 PARAMETER STANDARD VARIABLE ESTIMATE ERROR T-RATIO P-VALUE INTERCEPT 2.50 0.45 5.56 0. 0001 LNP -5.10 1. 75 -2.91 0 . 0113 LNQ 12 . 40 3.20 3.88 0 . 0017 LNR -6.00 1.50 -4 .00 0. 0010 Based on the Information In the table, the value of R tells us that Multiple Choice O 0.9023% of the total variation in In Wis explained by the regression equation. O 90.23% of the total variation in In Wis explained by the regression equation