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
Attachments
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.