Answer:
DF |
SS |
MSS |
F |
|
Regression |
1 |
45017897.46 |
45017897.4600 |
114.0829 |
Error |
18 |
7102922.54 |
394606.8078 |
|
Total |
19 |
52120820 |
Test statistic = 114.1 ( 1 decimal)
c). Regression line: y = -33.9 + 1.3x
Regression Analysis |
|||||||
r² |
0.742 |
n |
5 |
||||
r |
0.861 |
k |
1 |
||||
Std. Error of Estimate |
9.621 |
Dep. Var. |
y |
||||
Regression output |
confidence interval |
||||||
variables |
coefficients |
std. error |
t (df=3) |
p-value |
95% lower |
95% upper |
|
Intercept |
a = |
-33.875 |
|||||
x |
b = |
1.286 |
0.438 |
2.938 |
.0606 |
-0.107 |
2.679 |
ANOVA table |
|||||||
Source |
SS |
df |
MS |
F |
p-value |
||
Regression |
799.127 |
1 |
799.127 |
8.63 |
.0606 |
||
Residual |
277.673 |
3 |
92.558 |
||||
Total |
1,076.800 |
4 |
aren 8, 2012) rer these data In eerose 20, data on x-weght(pounds) and y-price ($) for...
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