Analysis
[1] "マネタリーベース:マネタリーベース平均残高/うち日本銀行券発行高:兆円:日本銀行"
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
2000 56.6194 52.8835 54.0866 55.4012 54.4058 53.0318 54.2879 53.7489 53.7160 54.8034 55.5209 59.5613
2001 58.9233 56.3757 57.0388 57.5153 57.7040 57.7253 59.5119 58.5255 58.3735 59.0130 59.9689 64.3769
2002 64.8110 63.3389 65.3759 66.8155 66.8968 66.1411 66.8793 66.6929 66.2761 66.4395 67.0184 70.8145
2003 70.8834 68.6170 69.5076 69.8211 70.0112 69.6116 70.4165 70.1656 69.6304 69.5638 69.9673 73.1283
2004 72.7139 70.4728 70.7069 70.9062 71.2335 70.2819 71.1698 71.0146 71.1848 71.0096 72.4627 74.8668
2005 74.6097 72.2207 73.3042 74.0715 74.0809 72.7636 73.6087 73.2365 73.0651 73.0566 73.2589 76.3121
2006 76.0040 73.8828 74.3874 74.3547 74.5519 73.4456 74.0971 74.0449 73.7148 73.7348 73.9249 76.6969
2007 76.5125 74.8201 75.3603 75.3051 75.3971 74.6596 75.2954 74.9744 74.7946 74.9865 75.1580 78.0036
2008 77.6902 75.6569 75.9282 75.7564 75.9585 75.1914 75.7150 75.6144 75.1178 75.6037 75.9854 78.4262
2009 77.9825 76.1880 76.5414 76.4847 76.8223 75.8829 76.2666 75.9799 75.8706 75.6165 75.7397 78.1778
2010 77.8306 76.2861 76.8243 77.1365 77.2490 76.4129 77.0592 76.8583 76.6008 76.7644 77.0922 79.7052
2011 79.4111 78.1300 79.6912 79.9807 79.4811 78.5057 79.1240 78.9717 78.8044 78.7220 78.9721 81.5720
2012 81.2462 79.8710 80.4460 80.6725 80.7450 80.2079 80.9465 80.8736 80.6118 80.7704 81.0887 83.8665
2013 83.8266 82.3430 82.8371 83.1109 83.2813 82.8305 83.4873 83.5572 83.3865 83.5418 83.9935 87.0015
2014 87.1198 85.4749 86.1177 86.0389 86.1273 85.6484 86.3217 86.4799 86.2960 86.5271 87.0990 90.1074
2015 90.1357 88.6755 89.2520 89.5381 89.9665 89.6714 90.6796 91.0354 91.3980 91.7792 92.4879 95.5628
2016 95.6932 94.4904 95.1906 95.6074 95.7942 95.1991 96.0075 96.2598 96.1605 96.4126 96.8657 99.8207
2017 100.0204 98.7652 99.4636 99.6652 99.9953 99.5829 100.3958 100.7793 100.5588 100.9036 101.4718 104.2023
2018 104.4482 103.3046 103.7590 103.9157 104.0264 103.7681 104.4800 104.6482 104.5699 104.7072 105.0606 107.7249
2019 107.9375 106.6271 107.2160 108.7111 108.7770 106.9431 107.4323 107.4413 107.1112 107.1156 107.3738
Call:
lm(formula = value ~ ID)
Residuals:
Min 1Q Median 3Q Max
-1.1377 -0.6599 -0.3499 0.3479 2.1244
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 75.95911 0.29263 259.57 < 0.0000000000000002 ***
ID 0.14828 0.01275 11.63 0.0000000000000643 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 0.8962 on 37 degrees of freedom
Multiple R-squared: 0.7852, Adjusted R-squared: 0.7794
F-statistic: 135.2 on 1 and 37 DF, p-value: 0.00000000000006427
Two-sample Kolmogorov-Smirnov test
data: lm_residuals and rnorm(n = length(lm_residuals), mean = 0, sd = sd(lm_residuals))
D = 0.20513, p-value = 0.3888
alternative hypothesis: two-sided
Durbin-Watson test
data: value ~ ID
DW = 1.322, p-value = 0.00869
alternative hypothesis: true autocorrelation is greater than 0
studentized Breusch-Pagan test
data: value ~ ID
BP = 0.00096784, df = 1, p-value = 0.9752
Box-Ljung test
data: lm_residuals
X-squared = 2.8235, df = 1, p-value = 0.09289
Call:
lm(formula = value ~ ID)
Residuals:
Min 1Q Median 3Q Max
-2.45491 -0.89725 -0.06327 0.73586 2.59164
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 80.886251 0.260352 310.68 <0.0000000000000002 ***
ID 0.348704 0.005384 64.76 <0.0000000000000002 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 1.175 on 81 degrees of freedom
Multiple R-squared: 0.9811, Adjusted R-squared: 0.9808
F-statistic: 4194 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 = 0.084337, p-value = 0.9317
alternative hypothesis: two-sided
Durbin-Watson test
data: value ~ ID
DW = 0.66649, p-value = 0.0000000000004813
alternative hypothesis: true autocorrelation is greater than 0
studentized Breusch-Pagan test
data: value ~ ID
BP = 0.28927, df = 1, p-value = 0.5907
Box-Ljung test
data: lm_residuals
X-squared = 31.994, df = 1, p-value = 0.00000001547
Call:
lm(formula = value ~ ID)
Residuals:
Min 1Q Median 3Q Max
-1.6297 -0.6940 -0.1257 0.5887 2.7237
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 74.739479 0.268620 278.24 <0.0000000000000002 ***
ID 0.120381 0.007787 15.46 <0.0000000000000002 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 1.019 on 57 degrees of freedom
Multiple R-squared: 0.8074, Adjusted R-squared: 0.8041
F-statistic: 239 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 = 0.11864, p-value = 0.8052
alternative hypothesis: two-sided
Durbin-Watson test
data: value ~ ID
DW = 0.92727, p-value = 0.000001719
alternative hypothesis: true autocorrelation is greater than 0
studentized Breusch-Pagan test
data: value ~ ID
BP = 0.0088295, df = 1, p-value = 0.9251
Box-Ljung test
data: lm_residuals
X-squared = 16.636, df = 1, p-value = 0.00004528
Call:
lm(formula = value ~ ID)
Residuals:
Min 1Q Median 3Q Max
-2.56680 -0.87717 -0.05816 0.70356 2.37802
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 81.709896 0.259127 315.33 <0.0000000000000002 ***
ID 0.352884 0.005558 63.49 <0.0000000000000002 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 1.148 on 78 degrees of freedom
Multiple R-squared: 0.981, Adjusted R-squared: 0.9808
F-statistic: 4031 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 = 0.125, p-value = 0.5625
alternative hypothesis: two-sided
Durbin-Watson test
data: value ~ ID
DW = 0.69274, p-value = 0.000000000004287
alternative hypothesis: true autocorrelation is greater than 0
studentized Breusch-Pagan test
data: value ~ ID
BP = 1.8574, df = 1, p-value = 0.1729
Box-Ljung test
data: lm_residuals
X-squared = 31.534, df = 1, p-value = 0.0000000196