In: Math
ANOVA | ||||||||
df | SS | MS | F | Significance F | ||||
Regression | 4 | 1917837 | 479459.2 | 7730.595 | 1.18E-24 | |||
Residual | 15 | 930.3149 | 62.02099 | |||||
Total | 19 | 1918767 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 36.35267 | 17.99446 | 2.020215 | 0.061592 | -2.00161 | 74.70694 | -2.00161 | 74.70694 |
PAPER | 1.15115 | 0.101065 | 11.3902 | 8.79E-09 | 0.935735 | 1.366565 | 0.935735 | 1.366565 |
MACHINE | 1.710568 | 0.384347 | 4.450582 | 0.000467 | 0.891352 | 2.529785 | 0.891352 | 2.529785 |
OVERHEAD | 0.63468 | 0.473494 | 1.340418 | 0.200059 | -0.37455 | 1.643908 | -0.37455 | 1.643908 |
LABOR | -0.03908 | 0.031298 | -1.24858 | 0.230956 | -0.10579 | 0.027632 | -0.10579 | 0.027632 |
(a) In the cost accounting literature, the sample regression coefficient corresponding to xk is regarded as an estimate of the true marginal cost of output associated with the variable xk. Find a point estimate of the true marginal cost associated with total machine hours per month. (Enter your answer to three decimal places.)
Also, find a 95% confidence interval estimate of the true marginal cost associated with total machine hours. (Round your answers to three decimal places.)
(b) Test the hypothesis that the true marginal
cost of output associated with total production of paper is $1,000.
(Hint: Realize that this is analogous to testing the regression
coefficient for total production of paper is 1.0.) Use a
10% level of significance.
State the hypotheses to be tested.
a.H0: β1 ≠ 1.0
Ha: β1 = 1.0
b.H0: β1 = 1.0
Ha: β1 ≠
1.0
c.H0: β2 ≠ 1.0
Ha: β2 = 1.0
d.H0: β0 = 1.0
Ha: β0 ≠ 1.0
e.H0: β2 = 1.0
Ha: β2 ≠ 1.0
(c)State the decision rule.
a.Reject H0 if p < 0.10.
Do not reject H0 if p ≥ 0.10.
b.Reject H0 if p > 0.05.
Do not reject H0 if p ≤
0.05.
c.Reject H0 if p > 0.10.
Do not reject H0 if p ≤ 0.10.
d.Reject H0 if p < 0.05.
Do not reject H0 if p ≥ 0.05.
(d)State your decision.
a.Reject the null hypothesis. The true marginal cost of output associated with total production of paper is not $1,000.
b.Reject the null hypothesis. The true marginal cost of output associated with total production of paper may be $1,000.
c.Do not reject the null hypothesis. The true marginal cost of output associated with total production of paper may be $1,000.
d.Do not reject the null hypothesis. The true marginal cost of output associated with total production of paper is not $1,000.
ANOVA |
||||||||
df |
SS |
MS |
F |
Significance F |
||||
Regression |
4 |
1917837 |
479459.2 |
7730.595 |
1.18E-24 |
|||
Residual |
15 |
930.3149 |
62.02099 |
|||||
Total |
19 |
1918767 |
||||||
Coefficients |
Standard Error |
t Stat |
P-value |
Lower 95% |
Upper 95% |
Lower 95.0% |
Upper 95.0% |
|
Intercept |
36.35267 |
17.99446 |
2.020215 |
0.061592 |
-2.00161 |
74.70694 |
-2.00161 |
74.70694 |
PAPER |
1.15115 |
0.101065 |
11.3902 |
8.79E-09 |
0.935735 |
1.366565 |
0.935735 |
1.366565 |
MACHINE |
1.710568 |
0.384347 |
4.450582 |
0.000467 |
0.891352 |
2.529785 |
0.891352 |
2.529785 |
OVERHEAD |
0.63468 |
0.473494 |
1.340418 |
0.200059 |
-0.37455 |
1.643908 |
-0.37455 |
1.643908 |
LABOR |
-0.03908 |
0.031298 |
-1.24858 |
0.230956 |
-0.10579 |
0.027632 |
-0.10579 |
0.027632 |
(a) In the cost accounting literature, the sample regression coefficient corresponding to xk is regarded as an estimate of the true marginal cost of output associated with the variable xk. Find a point estimate of the true marginal cost associated with total machine hours per month. (Enter your answer to three decimal places.)
Also, find a 95% confidence interval estimate of the true marginal cost associated with total machine hours. (Round your answers to three decimal places.)
Regression coefficient for Machine = 1.711
95% confidence interval = (0.891, 2.530)
(b) Test the hypothesis that the true marginal
cost of output associated with total production of paper is $1,000.
(Hint: Realize that this is analogous to testing the regression
coefficient for total production of paper is 1.0.) Use a
10% level of significance.
State the hypotheses to be tested.
b.H0:
β1 = 1.0
Ha: β1 ≠
1.0
(c)State the decision rule.
a.Reject H0 if p <
0.10.
Do not reject H0 if p ≥
0.10.
(d)State your decision.
a.Reject the null hypothesis. The true marginal cost of output associated with total production of paper is not $1,000.
(Note: calculated t= 11.3902, P= 8.79E-09 which is < 0.10 level of significance)