=+logarithms. Heres a more sophisticated multiple regression to predict the logValue from other variables published by the

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=+logarithms. Here’s a more sophisticated multiple regression to predict the logValue from other variables published by the Maine Department of Marine Resources (maine

.gov/dmr). The predictors are number of Traps (millions), number of licensed Fishers, and Pounds/Trap during the years 1957 to 2012.

Dependent variable is: LogValue R squared = 97.5% R squared (adjusted) = 97.4%

s = 0.0801 with 56 - 4 = 52 degrees of freedom Source Sum of Squares df Mean Square F-ratio Regression 13.2861 3 4.4287 690.108 Residual 0.33370 52 0.00642 Variable Coeff SE(Coeff) t-ratio P-value Intercept 0.85601 0.08766 9.77 60.0001 Traps(M) 0.56347 0.01245 45.26 60.0001 Fishers -0.0000444 0.00000953 -4.67 60.0001 Pounds/

Trap 0.00381 0.00145 2.62 0.0114

–0.2

–0.1 0.1 0.2 Residuals Predicted 1.0 1.5 2.0 2.5 0.0

–0.2

–0.1 0.0 0.2 Residuals Nscores

–2 –1 0 1 2 0.1

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Related Book For  book-img-for-question

Business Statistics Plus Pearson Mylab Statistics With Pearson Etext

ISBN: 978-1292243726

3rd Edition

Authors: Norean R Sharpe ,Richard D De Veaux ,Paul Velleman

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