Analysis
[1] "マネタリーベース:マネタリーベース平均残高:兆円:日本銀行"
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
2000 72.1978 62.6865 64.9807 65.8350 63.7448 62.2152 63.7116 62.6193 61.8261 62.7618 63.5571 67.9588
2001 68.1280 64.7866 65.7361 66.7725 66.9654 66.9739 68.7826 68.2731 70.6356 71.7502 73.3778 79.4424
2002 84.0818 82.6163 87.1493 91.0393 86.8229 85.4332 86.0806 86.0881 85.7469 85.9299 89.4000 94.9444
2003 95.3668 93.0274 96.6459 101.5445 101.3547 102.7632 103.6363 103.7448 103.6332 103.6011 104.3362 107.4991
2004 108.3320 108.0570 108.1238 108.2958 108.8328 107.2957 108.5248 108.5653 108.5201 107.9234 109.4035 111.9769
2005 112.5134 109.3674 110.3301 111.5568 111.2725 109.1586 110.1137 109.7890 110.3950 110.9848 111.0432 113.0466
2006 114.1316 111.4431 109.2791 103.5779 94.1951 91.4229 90.5410 87.5607 86.9660 87.3279 86.2670 90.4664
2007 90.0507 87.9061 88.4022 90.8926 88.7868 87.6336 88.4708 88.1473 87.5728 87.7567 87.1633 90.7835
2008 89.9793 87.9916 88.3867 88.3589 87.9638 88.0155 87.8532 87.9433 88.3741 88.9825 88.8562 92.4351
2009 93.5049 93.6531 94.4658 95.6238 94.9165 93.6392 93.2096 93.3355 92.3942 92.8609 92.2042 97.2143
2010 98.0675 95.6928 96.4571 98.3836 98.4323 97.0240 98.9359 98.3995 97.7173 98.8248 99.1866 104.0238
2011 103.4826 101.0039 112.7432 121.8934 114.4208 113.4780 113.7324 114.0447 114.0181 115.6428 118.4978 118.0195
2012 118.9656 112.4409 112.4618 121.5003 117.1210 120.2142 123.5010 121.4626 124.3261 128.1344 124.4449 131.9837
2013 131.9205 129.3148 134.7413 149.5975 154.1412 163.5375 170.3890 172.4437 181.7012 186.8687 189.7244 193.4594
2014 200.4141 201.3223 208.5929 222.0795 224.3719 233.2465 243.1068 242.3138 245.8169 255.7542 259.3603 267.4016
2015 275.3859 275.2617 282.1182 300.3275 304.3476 313.0770 322.8211 322.9269 332.1941 338.8877 343.7218 346.3793
2016 355.1030 355.0415 362.6050 380.8364 381.8397 392.7119 402.4578 400.9981 407.5081 413.8966 417.6573 426.3922
2017 435.2054 430.9696 436.2634 456.2398 455.9954 459.4854 465.0692 466.3075 471.1205 473.8791 472.5834 474.1265
2018 477.2595 471.6382 475.9328 492.0203 492.9691 493.3638 497.6398 498.3868 498.8216 501.6198 501.3302 497.0034
2019 499.7797 493.0980 494.2027 507.3520 510.8086 512.9912 516.0145 512.5110 513.8266 517.1008 517.6305
Call:
lm(formula = value ~ ID)
Residuals:
Min 1Q Median 3Q Max
-6.6721 -2.3980 -0.0267 1.8980 13.0618
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 91.03667 1.23556 73.68 <0.0000000000000002 ***
ID 0.93657 0.05384 17.40 <0.0000000000000002 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 3.784 on 37 degrees of freedom
Multiple R-squared: 0.8911, Adjusted R-squared: 0.8881
F-statistic: 302.6 on 1 and 37 DF, p-value: < 0.00000000000000022
Two-sample Kolmogorov-Smirnov test
data: lm_residuals and rnorm(n = length(lm_residuals), mean = 0, sd = sd(lm_residuals))
D = 0.10256, p-value = 0.9885
alternative hypothesis: two-sided
Durbin-Watson test
data: value ~ ID
DW = 1.1047, p-value = 0.000788
alternative hypothesis: true autocorrelation is greater than 0
studentized Breusch-Pagan test
data: value ~ ID
BP = 0.042383, df = 1, p-value = 0.8369
Box-Ljung test
data: lm_residuals
X-squared = 7.7244, df = 1, p-value = 0.005448
Call:
lm(formula = value ~ ID)
Residuals:
Min 1Q Median 3Q Max
-55.732 -16.874 -1.714 17.477 41.224
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 149.401 5.318 28.10 <0.0000000000000002 ***
ID 5.108 0.110 46.45 <0.0000000000000002 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 24 on 81 degrees of freedom
Multiple R-squared: 0.9638, Adjusted R-squared: 0.9634
F-statistic: 2157 on 1 and 81 DF, p-value: < 0.00000000000000022
Two-sample Kolmogorov-Smirnov test
data: lm_residuals and rnorm(n = length(lm_residuals), mean = 0, sd = sd(lm_residuals))
D = 0.072289, p-value = 0.9829
alternative hypothesis: two-sided
Durbin-Watson test
data: value ~ ID
DW = 0.049212, p-value < 0.00000000000000022
alternative hypothesis: true autocorrelation is greater than 0
studentized Breusch-Pagan test
data: value ~ ID
BP = 20.488, df = 1, p-value = 0.000006
Box-Ljung test
data: lm_residuals
X-squared = 75.481, df = 1, p-value < 0.00000000000000022
Call:
lm(formula = value ~ ID)
Residuals:
Min 1Q Median 3Q Max
-7.7148 -3.2634 0.7444 2.9539 11.6298
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 82.45486 1.08054 76.31 <0.0000000000000002 ***
ID 0.77247 0.03132 24.66 <0.0000000000000002 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 4.097 on 57 degrees of freedom
Multiple R-squared: 0.9143, Adjusted R-squared: 0.9128
F-statistic: 608.2 on 1 and 57 DF, p-value: < 0.00000000000000022
Two-sample Kolmogorov-Smirnov test
data: lm_residuals and rnorm(n = length(lm_residuals), mean = 0, sd = sd(lm_residuals))
D = 0.25424, p-value = 0.04374
alternative hypothesis: two-sided
Durbin-Watson test
data: value ~ ID
DW = 0.67286, p-value = 0.0000000007934
alternative hypothesis: true autocorrelation is greater than 0
studentized Breusch-Pagan test
data: value ~ ID
BP = 0.64799, df = 1, p-value = 0.4208
Box-Ljung test
data: lm_residuals
X-squared = 24.497, df = 1, p-value = 0.0000007444
Call:
lm(formula = value ~ ID)
Residuals:
Min 1Q Median 3Q Max
-53.590 -18.889 3.596 19.348 40.872
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 169.019 5.360 31.53 <0.0000000000000002 ***
ID 5.027 0.115 43.73 <0.0000000000000002 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 23.75 on 78 degrees of freedom
Multiple R-squared: 0.9608, Adjusted R-squared: 0.9603
F-statistic: 1912 on 1 and 78 DF, p-value: < 0.00000000000000022
Two-sample Kolmogorov-Smirnov test
data: lm_residuals and rnorm(n = length(lm_residuals), mean = 0, sd = sd(lm_residuals))
D = 0.0875, p-value = 0.922
alternative hypothesis: two-sided
Durbin-Watson test
data: value ~ ID
DW = 0.048587, p-value < 0.00000000000000022
alternative hypothesis: true autocorrelation is greater than 0
studentized Breusch-Pagan test
data: value ~ ID
BP = 18.796, df = 1, p-value = 0.00001455
Box-Ljung test
data: lm_residuals
X-squared = 72.79, df = 1, p-value < 0.00000000000000022