The regression output is:
r² | 0.808 | |||||
r | 0.899 | |||||
Std. Error | 1.756 | |||||
n | 14 | |||||
k | 1 | |||||
Dep. Var. | y | |||||
ANOVA table | ||||||
Source | SS | df | MS | F | p-value | |
Regression | 156.1605 | 1 | 156.1605 | 50.64 | 1.22E-05 | |
Residual | 37.0081 | 12 | 3.0840 | |||
Total | 193.1686 | 13 | ||||
Regression output | confidence interval | |||||
variables | coefficients | std. error | t (df=12) | p-value | 95% lower | 95% upper |
Intercept | 1.4919 | |||||
x | 2.6043 | 0.3660 | 7.116 | 1.22E-05 | 1.8069 | 3.4018 |
Predicted values for: y | ||||||
95% Confidence Interval | 95% Prediction Interval | |||||
x | Predicted | lower | upper | lower | upper | Leverage |
12 | 32.7441 | 30.4476 | 35.0405 | 28.2815 | 37.2066 | 0.360 |
1. less
2. increase
3. 29.8
4. 32.7
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1980 per capita 1999 per capita La | income y in $1000) $10005) 27.1 9.7 25.7...
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