Below you are given a partial
computer output based on a sample of fifteen (15)
observations.
ANOVA |
|||||
df |
SS |
||||
Regression |
1 |
50.58 |
|||
Residual |
|
||||
Total |
14 |
106.00 |
|||
Coefficients |
Standard Error |
tstat |
p-value |
||
Intercept |
16.156 |
1.42 |
0.0000 |
||
Variable x |
-0.903 |
0.26 |
0.0000 |
The estimated regression equation (also known as regression line
fit) is?
Y = b0 + b1X1 + ε,
E(Y) = b0 + b1X1 + b2X2
Ŷ = -0.903 + 16.156X1
Ŷ = 1.42 + 0.26X1
none of the above
n = 36 |
H 0: µ 20 |
x = 22 |
H a: µ > 20 |
o = 6 |
The p-value equals
0.1587 |
||
0.0668 |
||
0.0228 |
||
0.0107 |
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