Scenario 3-8 production for 2ish in a Canadian Lake collected data on the length

Question

Scenario 3-8 production for 2ish in a Canadian Lake collected data on the length (in centimeters) and production versus fish length are given below. A fisheries biologist studyin egg produ weah ina mul fish. A scatter plot of her results and computer regression analysis of e Note that Number of eggsis given in thousands (i.e., "40" means 40,000 eggs). Egg production vs fish length 70 40 E. 30 20 4.2 4.4 4.6 48 5.0 5.2 Fish length, cm. Coef SE Coef Predictor Constant Fish length 39.250 5.392 7.28 0.000 -142.74 25.55 -5.59 0.000 -6.75133 R-Sq69.78 R-Sq (adj)-68.48 Scenario 3-8. The equation of the least-squares regression line is 3. Use A. Eggs-142.74+39.25(Length) B. Eggs 39.25-142.74(Length) C. Eggs 25.55+ 5.392(Length) D. Eggs 25.55+5.392(Eggs) E. Eggs =-142.74 + 39.25(Eggs)

Explanation / Answer

Ans:

From above table:

cofficient for constant=y-intercept=-142.74

cofficient for fish length=slope=39.250

Regression eqn:

Eggs=-142.74+39.25(Length)

Option A is correct.

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