Id | x | z | y |
A | 6 | 7 | 3 |
B | 4 | 4 | 7 |
C | 10 | 10 | 8 |
D | 3 | 1 | 4 |
E | 2 | 3 | 2 |
given
Ryx= 0.6719
Ryz=0.5190
ssy=26.8
1. what is the variation in y that is redundantly explained by x
and z
2. What is the proportion of variation in y that is redundantly
explained by x and z
using excel>data>data analysis>Regression
we have
SUMMARY OUTPUT | ||||||
Regression Statistics | ||||||
Multiple R | 0.951247 | |||||
R Square | 0.904871 | |||||
Adjusted R Square | 0.809741 | |||||
Standard Error | 1.542152 | |||||
Observations | 5 | |||||
ANOVA | ||||||
df | SS | MS | F | ignificance F | ||
Regression | 2 | 45.24354 | 22.62177 | 9.512014 | 0.095129 | |
Residual | 2 | 4.756463 | 2.378231 | |||
Total | 4 | 50 | ||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |
Intercept | 0.321769 | 1.625405 | 0.197962 | 0.861371 | -6.67178 | 7.31532 |
z | -0.27891 | 0.402224 | -0.69342 | 0.55975 | -2.00954 | 1.45172 |
x | 1.203401 | 0.329235 | 3.655146 | 0.067373 | -0.21318 | 2.619985 |
1. 90.48% variation in y that is redundantly explained by x and
z
2. 0.9048 proportion of variation in y that is redundantly
explained by x and z
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