|
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
|
1. 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
2. Is the curvilinear effect significant?
a) Yes
b) No
c) Not enough information to determine
3. 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
4. When performed a natural logarithm transformation of the response variable (yield), what is b1?
a) 2.475
b) 0.01855
c) 0.2475
5. 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
6. When performed a square-root transformation of the explanatory variable (fertilizer), what is b1?
a) 4.66613
b) 0.56853
c) 5.06852
7. 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