Data on a state\'s lobster fishing industry were collected at random intervals f

Question

Data on a state's lobster fishing industry were collected at random intervals for 53 years. A multiple regression was performed to predict the logValue from the number of Traps (millions), the number of Fishers, and the Pounds/Trap. Use the accompanying regression output to complete parts (a) through (d). Assume that scatterplots of the logValue against each of the predictor variables are reasonably straight. 1 Click to view the multiple regression output. a) Write the regression model. Choose the correct answer below. OA. OB· OC. OD· log Value =-0.090 + 0.011 Traps +0.00000939 Fishers +0.001 Pounds /Trap logValue-o718Traps +0507 Fishers-0.00004 Pounds/Trap +000372 logValue = 0.718+0.507 Traps-0.00004Fishers +0.00372 Pounds / Trap logValue-0090 + 0.011 Traps-0.00000939Fishers-0001 Pounds / Trap O E. ogValue-0718+0.507 Traps+0.00004 Fishers+0.004Pounds/Trap b) Are the assumptions and conditions met? Select all assumptions that are satisfied. A. B. C. The Equal Variance Assumption is satisfied. The Normality Condition is satisfied. The Linearity Condition is satisfied. D. The Independence Assumption is satisfied

Explanation / Answer

Hi Thanks for the Question

a. First question:

Ans: Based on the regression output you have performed the logvalue equals the option C,which is seen in the output of linear regression in the variable and the coefficient

b.Second Question

Ans:Linear regression is performed after making all the assumptions but since it is diificult to check all the assumptions before the data regressions are performed.

The assumptions can be checked based on the output and the plots too.But based on the regression output it can be said except independence all other conditions are satisfied

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