› ryu9082008年08月04日
課題
Call:
arima(x = ty1, order = c(2, 1, 2))
Coefficients:
ar1 ar2 ma1 ma2
-0.0328 0.1431 0.3303 -0.0909
s.e. 0.4503 0.1346 0.4485 0.1360
sigma^2 estimated as 27.19: log likelihood = -1415.46, aic = 2840.91
arima(x = ty1, order = c(2, 1, 2))
Coefficients:
ar1 ar2 ma1 ma2
-0.0328 0.1431 0.3303 -0.0909
s.e. 0.4503 0.1346 0.4485 0.1360
sigma^2 estimated as 27.19: log likelihood = -1415.46, aic = 2840.91
Posted by とーや at
14:00
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今日の課題
Call:
lm(formula = y ~ x)
Residuals:
Min 1Q Median 3Q Max
-8.673 -4.847 -2.386 3.437 55.328
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -8.1388 1.6719 -4.868 4.32e-06 ***
x 11.2355 0.7539 14.904 < 2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 8.389 on 98 degrees of freedom
Multiple R-Squared: 0.6939, Adjusted R-squared: 0.6908
F-statistic: 222.1 on 1 and 98 DF, p-value: < 2.2e-16
lm(formula = y ~ x)
Residuals:
Min 1Q Median 3Q Max
-8.673 -4.847 -2.386 3.437 55.328
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -8.1388 1.6719 -4.868 4.32e-06 ***
x 11.2355 0.7539 14.904 < 2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 8.389 on 98 degrees of freedom
Multiple R-Squared: 0.6939, Adjusted R-squared: 0.6908
F-statistic: 222.1 on 1 and 98 DF, p-value: < 2.2e-16
Posted by とーや at
14:16
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