Quadratic regression analysis

Assignment Help Basic Statistics
Reference no: EM13957042

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

Reference no: EM13957042

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