SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.
1) Use simple regression output from Table 1. a= __________. 1)
Table 1:
Raw Data |
X Y |
4 2 3 1 2 3 9 12 8 8 10 8 2 3 7 6 0 3 5 2 |
Summary Output |
Regression Statistics |
Multiple R 0.81 R Square a Adjusted R Square 0.61 Standard b Observations |
ANOVA |
df SS MS f Significate f |
Regression 74.21 e 15.07 0.005 Residual c d 4.92 Total 113.6 |
Coefficients Standard Error t Stat P-Value Lower 95% Upper 95% |
Intercept 0.54 1.30 0.41 0.692 -2.47 3.54 X 0.85 0.22 3.88 0.005 0.35 1.36 |
2) Use Table 2: b = __________. 2)
3) Use Table 2: c = __________. 3)
4) Use Table 2: d = __________. 4)
5) Use Table 2: e = __________. 5)
1) R square (R^{2}) equals 0.6532. It
means that the predictors (X_{i}) explain 65.3% of the
variance of Y.
Adjusted R square equals 0.6099.
R-square = 0.6532 (a)
2) Standard = 0.8082
Source |
DF |
Sum of Squares | Mean Square | F Statistic | P-value |
---|---|---|---|---|---|
Regression (between ŷ_{i}and y_{i}) |
1 |
74.21 |
74.21(e) |
15.0694 |
0.004662 |
Residual (between y_{i}and ŷ_{i}) |
8 (c) |
39.3941(d) |
4.9243 |
||
Total(between y_{i}and y_{i}) |
9 |
113.6000 |
12.6222 |
3) c = 8
4) d = 39.3941
5) e = 74.21
Get Answers For Free
Most questions answered within 1 hours.