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    Multiple choice questions on Regression analysis

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    Fertilizer Yield
    0 6
    0 9
    20 19
    20 24
    40 32
    40 38
    60 46
    60 50
    80 48
    80 54
    100 52
    100 58

    When applied a quadratic term on fertilizer and performed the quadratic regression analysis, what is b2?

    a) 6.6429
    b) 0.8950
    c) -0.00407

    Is the curvilinear effect significant?

    a) Yes
    b) No
    c) Not enough information to determine

    Predict the average yield of tomatoes (in pounds) for a plot that has been fertilized with 70 pounds per 1,000 square feet.

    a) 89.393
    b) 69.293
    c) 49.203

    When performed a natural logarithm transformation of the response variable (yield), what is b1?

    a) 2.475
    b) 0.01855
    c) 0.2475

    When performed a residual analysis of the results, does the model fit the data adequately?

    a) Yes
    b) No
    c) Not enough information to determine

    When performed a square-root transformation of the explanatory variable (fertilizer), what is b1?

    a) 4.66613
    b) 0.56853
    c) 5.06852

    Compare this model (square-root) with the natural logarithm model, which model would you choose?

    a) Logarithm model
    b) Square-root model
    c) No difference in their results

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    https://brainmass.com/math/interpolation-extrapolation-and-regression/multiple-choice-questions-on-regression-analysis-434036

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    Solution Summary

    Step by step method for regression analysis is discussed here. Regression coefficients, coefficient of determination, scatter diagram and significance of regression model are explained in the solution.

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