Fish Biomass Data y x1 x2 X3 x4 100 14.3 15.0 12.2 48.0 388 19.1 29.4 26.0 152.2 755 54.6 58.0 24.2 469.7 1288 28.8 42.6 26.1 485.9 230 16.1 15.9 31.6 87.6 0 10.0 56.4 23.3 6.9 551 28.5 95.1 13.0 192.9 345 13.8 60.6 7.5 105.8 0 10.7 35.2 40.3 0.0 348 25.9 52.0 40.3 116.6 - ☑ An experiment was conducted to study the effect of stream characteristics on fish biomass. The regressor variables are as follows: average depth (of 50 cells), x₁; area of in-stream cover (i.e., undercut banks, logs, boulders, etc.), x2; percent canopy cover (average of 12), x3; and area ≥ 25 centimeters in depth, x4. The response is y, the fish biomass. Use the accompanying data to complete parts (a) through (c). Click the icon to view the fish biomass data. (a) Fit a multiple linear regression including all four regression variables. ŷ = 86 + ( 16 ) ×₁ + (2.42) x2 + (1.83) ×3 + (3.07) ×4 (Round the constant and x₁-coefficient to the nearest integer as needed. Round all other coefficients to two decimal places as needed.) (b) Use C., R², and s² to determine the best subsets of variables. Compute these statistics for all possible subsets. Find the two models which use the best subset of variables. Select both of these models below. B. X3X4 A. X2x3 D. X1x3 E. X1 X3 X4 H. X2X3X4 G. x₁ K. X2X4 J. X₁x2x3 N. X1 X2 ୮ M. x4 C. X₁x4 x2 1. хахахаха X3