a)
Dependent Variable is Cost
Independent Variable is Size
b) Graph

c)
|
SUMMARY OUTPUT |
||||||||
| Regression Statistics | ||||||||
| Multiple R | 0.744 | |||||||
| R Square | 0.553 | |||||||
| Adjusted R Square | 0.330 | |||||||
| Standard Error | 29.870 | |||||||
| Observations | 4 | |||||||
| ANOVA | ||||||||
| df | SS | MS | F | Significance F | ||||
| Regression | 1 | 2210.53 | 2210.53 | 2.48 | 0.26 | |||
| Residual | 2 | 1784.47 | 892.24 | |||||
| Total | 3 | 3995.00 | ||||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
| Intercept | 91.00 | 29.75 | 3.06 | 0.09 | -37.01 | 219.01 | -37.01 | 219.01 |
| Cost | -3.18 | 2.02 | -1.57 | 0.26 | -11.86 | 5.51 | -11.86 | 5.51 |
Size = 91 - 3.18 * Cost
d)
R Square = 0.55 R = 0.74
Linear correlation

r=0.74 , n= 4
t= 1.55
df=n-2 = 4-2=2
P value = 0.26 >0.05
Do not reject Ho
Not significant
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