# 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.