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