|
5 | 5 |
|
6 | 6 |
|
7 | 7 | #+NAME: sassociation1
|
8 |
| -#+BEGIN_SRC R :results output raw list |
| 8 | +#+BEGIN_SRC R :results output list org |
9 | 9 | library(data.table)
|
10 | 10 | readRDS("plfsdata/plfsacjdata.rds")->worker
|
11 | 11 | worker$standardwage->worker$wage
|
|
19 | 19 | #+end_src
|
20 | 20 |
|
21 | 21 | #+RESULTS: sassociation1
|
22 |
| -+ Pearson's product-moment correlation |
23 |
| -+ data: worker$wage and worker$years_edu |
24 |
| -+ t = 35.998, df = 37633, p-value < 0.00000000000000022 |
25 |
| -+ alternative hypothesis: true correlation is not equal to 0 |
26 |
| -+ 95 percent confidence interval: |
27 |
| -+ 0.1726625 0.1921962 |
28 |
| -+ sample estimates: |
29 |
| -+ cor |
30 |
| -+ 0.1824473 |
31 |
| -+ Pearson's product-moment correlation |
32 |
| -+ data: worker$wage and worker$age |
33 |
| -+ t = 9.3777, df = 37633, p-value < 0.00000000000000022 |
34 |
| -+ alternative hypothesis: true correlation is not equal to 0 |
35 |
| -+ 95 percent confidence interval: |
36 |
| -+ 0.03819950 0.05835859 |
37 |
| -+ sample estimates: |
38 |
| -+ cor |
39 |
| -+ 0.04828396 |
| 22 | +#+begin_src org |
| 23 | +- Pearson's product-moment correlation |
| 24 | +- data: worker$wage and worker$years_edu |
| 25 | +- t = 35.998, df = 37633, p-value < 0.00000000000000022 |
| 26 | +- alternative hypothesis: true correlation is not equal to 0 |
| 27 | +- 95 percent confidence interval: |
| 28 | +- 0.1726625 0.1921962 |
| 29 | +- sample estimates: |
| 30 | +- cor |
| 31 | +- 0.1824473 |
| 32 | +- Pearson's product-moment correlation |
| 33 | +- data: worker$wage and worker$age |
| 34 | +- t = 9.3777, df = 37633, p-value < 0.00000000000000022 |
| 35 | +- alternative hypothesis: true correlation is not equal to 0 |
| 36 | +- 95 percent confidence interval: |
| 37 | +- 0.03819950 0.05835859 |
| 38 | +- sample estimates: |
| 39 | +- cor |
| 40 | +- 0.04828396 |
| 41 | +#+end_src |
| 42 | + |
40 | 43 |
|
41 | 44 | #+NAME: sassociation2
|
42 |
| -#+BEGIN_SRC R :results output raw |
| 45 | +#+BEGIN_SRC R :results output list org |
43 | 46 | lm(wage~sex+age+years_edu,
|
44 | 47 | data=worker)->t
|
45 | 48 | summary(t)
|
|
56 | 59 | #+end_src
|
57 | 60 |
|
58 | 61 | #+RESULTS: sassociation2
|
59 |
| -Call: |
60 |
| -lm(formula = wage ~ sex |
61 |
| -age |
62 |
| -years_edu, data = worker) |
63 |
| - |
64 |
| -Residuals: |
65 |
| - Min 1Q Median 3Q Max |
66 |
| --292.30 -74.80 -14.61 57.25 2170.72 |
67 |
| - |
68 |
| -Coefficients: |
69 |
| - Estimate Std. Error t value Pr(>|t|) |
70 |
| -(Intercept) 327.62380 3.44462 95.11 <0.0000000000000002 *** |
71 |
| -sex -97.04291 1.67477 -57.94 <0.0000000000000002 *** |
72 |
| -age 1.38151 0.05526 25.00 <0.0000000000000002 *** |
73 |
| -years_edu 4.48268 0.15777 28.41 <0.0000000000000002 *** |
74 |
| ---- |
75 |
| -Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 |
76 |
| - |
77 |
| -Residual standard error: 121.9 on 37631 degrees of freedom |
78 |
| -Multiple R-squared: 0.1261, Adjusted R-squared: 0.126 |
79 |
| -F-statistic: 1809 on 3 and 37631 DF, p-value: < 0.00000000000000022 |
80 |
| - |
81 |
| -Call: |
82 |
| -lm(formula = wage ~ sex |
83 |
| -age |
84 |
| -years_edu |
85 |
| -sector |
86 |
| -social_group |
87 |
| - |
88 |
| - religion |
89 |
| -quarter, data = worker) |
90 |
| - |
91 |
| -Residuals: |
92 |
| - Min 1Q Median 3Q Max |
93 |
| --315.65 -72.11 -14.15 52.51 2140.20 |
94 |
| - |
95 |
| -Coefficients: |
96 |
| - Estimate Std. Error t value Pr(>|t|) |
97 |
| -(Intercept) 257.94757 3.99129 64.628 < 0.0000000000000002 *** |
98 |
| -sex -86.56036 1.65149 -52.414 < 0.0000000000000002 *** |
99 |
| -age 1.23305 0.05423 22.735 < 0.0000000000000002 *** |
100 |
| -years_edu 3.76046 0.15523 24.225 < 0.0000000000000002 *** |
101 |
| -sector2 30.32294 1.41191 21.477 < 0.0000000000000002 *** |
102 |
| -social_group2 29.29921 2.21158 13.248 < 0.0000000000000002 *** |
103 |
| -social_group3 38.85215 2.10791 18.432 < 0.0000000000000002 *** |
104 |
| -social_group9 36.39078 2.37599 15.316 < 0.0000000000000002 *** |
105 |
| -religion2 15.28020 1.88933 8.088 0.000000000000000626 *** |
106 |
| -religion3 70.06425 3.05735 22.917 < 0.0000000000000002 *** |
107 |
| -religion4 0.90753 4.34322 0.209 0.834486 |
108 |
| -religion5 9.92952 16.27422 0.610 0.541774 |
109 |
| -religion6 -27.61440 5.46808 -5.050 0.000000443610331942 *** |
110 |
| -religion7 -28.12453 44.72117 -0.629 0.529427 |
111 |
| -religion9 22.53928 5.90700 3.816 0.000136 *** |
112 |
| -quarterQ2 11.19254 1.98958 5.626 0.000000018618898647 *** |
113 |
| -quarterQ3 15.15791 1.89871 7.983 0.000000000000001465 *** |
114 |
| -quarterQ4 25.67351 1.85931 13.808 < 0.0000000000000002 *** |
115 |
| -quarterQ5 32.23325 2.39793 13.442 < 0.0000000000000002 *** |
116 |
| ---- |
117 |
| -Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 |
118 |
| - |
119 |
| -Residual standard error: 118.3 on 37616 degrees of freedom |
120 |
| -Multiple R-squared: 0.1778, Adjusted R-squared: 0.1774 |
121 |
| -F-statistic: 451.8 on 18 and 37616 DF, p-value: < 0.00000000000000022 |
122 |
| - |
123 |
| -Call: |
124 |
| -lm(formula = wage ~ sex |
125 |
| -age |
126 |
| -years_edu |
127 |
| -sector |
128 |
| -social_group |
129 |
| - |
130 |
| - religion |
131 |
| -quarter |
132 |
| -state, data = worker) |
133 |
| - |
134 |
| -Residuals: |
135 |
| - Min 1Q Median 3Q Max |
136 |
| --421.28 -53.87 -3.68 47.22 1919.02 |
137 |
| - |
138 |
| -Coefficients: |
139 |
| - Estimate Std. Error t value Pr(>|t|) |
140 |
| -(Intercept) 444.01115 4.77338 93.018 < 0.0000000000000002 *** |
141 |
| -sex -90.39577 1.35581 -66.673 < 0.0000000000000002 *** |
142 |
| -age 0.09864 0.04447 2.218 0.026552 * |
143 |
| -years_edu 0.78564 0.12845 6.116 0.00000000096630021 *** |
144 |
| -sector2 20.38448 1.17589 17.335 < 0.0000000000000002 *** |
145 |
| -social_group2 8.16327 1.89780 4.301 0.00001701239040995 *** |
146 |
| -social_group3 7.00001 1.82389 3.838 0.000124 *** |
147 |
| -social_group9 14.48824 2.02081 7.170 0.00000000000076649 *** |
148 |
| -religion2 3.06706 1.61097 1.904 0.056937 . |
149 |
| -religion3 3.99327 3.09503 1.290 0.196982 |
150 |
| -religion4 1.21196 4.75423 0.255 0.798784 |
151 |
| -religion5 18.31698 13.00836 1.408 0.159112 |
152 |
| -religion6 11.40087 4.59791 2.480 0.013158 * |
153 |
| -religion7 1.18490 35.69842 0.033 0.973522 |
154 |
| -religion9 22.95917 4.86976 4.715 0.00000243003135992 *** |
155 |
| -quarterQ2 10.21411 1.58877 6.429 0.00000000013002120 *** |
156 |
| -quarterQ3 16.82258 1.51923 11.073 < 0.0000000000000002 *** |
157 |
| -quarterQ4 25.14926 1.49016 16.877 < 0.0000000000000002 *** |
158 |
| -quarterQ5 33.08983 1.95044 16.965 < 0.0000000000000002 *** |
159 |
| -state02 -68.16250 5.62831 -12.111 < 0.0000000000000002 *** |
160 |
| -state03 -96.24984 5.63379 -17.084 < 0.0000000000000002 *** |
161 |
| -state04 -71.16512 23.87015 -2.981 0.002872 ** |
162 |
| -state05 -115.06098 7.55209 -15.236 < 0.0000000000000002 *** |
163 |
| -state06 -69.65578 5.27142 -13.214 < 0.0000000000000002 *** |
164 |
| -state07 -46.63160 13.00126 -3.587 0.000335 *** |
165 |
| -state08 -93.14096 4.86947 -19.128 < 0.0000000000000002 *** |
166 |
| -state09 -130.45617 4.11177 -31.728 < 0.0000000000000002 *** |
167 |
| -state1 -14.79943 6.61379 -2.238 0.025249 * |
168 |
| -state10 -111.30326 4.22934 -26.317 < 0.0000000000000002 *** |
169 |
| -state11 -30.89194 13.71763 -2.252 0.024329 * |
170 |
| -state12 -69.11195 8.17680 -8.452 < 0.0000000000000002 *** |
171 |
| -state13 -23.54944 16.54163 -1.424 0.154557 |
172 |
| -state14 -58.14358 5.19732 -11.187 < 0.0000000000000002 *** |
173 |
| -state15 -67.54526 6.62181 -10.200 < 0.0000000000000002 *** |
174 |
| -state16 -45.92342 5.48738 -8.369 < 0.0000000000000002 *** |
175 |
| -state17 -53.92123 6.67236 -8.081 0.00000000000000066 *** |
176 |
| -state18 -86.09270 4.86428 -17.699 < 0.0000000000000002 *** |
177 |
| -state19 -150.31537 3.89883 -38.554 < 0.0000000000000002 *** |
178 |
| -state2 -56.38856 11.04817 -5.104 0.00000033437294375 *** |
179 |
| -state20 -137.77298 4.59079 -30.011 < 0.0000000000000002 *** |
180 |
| -state21 -147.27217 4.45380 -33.067 < 0.0000000000000002 *** |
181 |
| -state22 -172.27146 4.70857 -36.587 < 0.0000000000000002 *** |
182 |
| -state23 -161.52791 4.12939 -39.117 < 0.0000000000000002 *** |
183 |
| -state24 -145.44044 4.54569 -31.995 < 0.0000000000000002 *** |
184 |
| -state25 -63.12764 47.32958 -1.334 0.182281 |
185 |
| -state26 -102.84861 30.08812 -3.418 0.000631 *** |
186 |
| -state27 -142.91329 3.89854 -36.658 < 0.0000000000000002 *** |
187 |
| -state28 -84.41173 4.12350 -20.471 < 0.0000000000000002 *** |
188 |
| -state29 -100.69647 4.08499 -24.650 < 0.0000000000000002 *** |
189 |
| -state3 -121.25472 6.44927 -18.801 < 0.0000000000000002 *** |
190 |
| -state30 25.50491 11.26961 2.263 0.023632 * |
191 |
| -state31 112.13284 13.52131 8.293 < 0.0000000000000002 *** |
192 |
| -state32 146.37176 4.10836 35.628 < 0.0000000000000002 *** |
193 |
| -state33 -40.33733 3.97872 -10.138 < 0.0000000000000002 *** |
194 |
| -state34 -61.09002 6.25575 -9.765 < 0.0000000000000002 *** |
195 |
| -state35 17.72228 8.72443 2.031 0.042227 * |
196 |
| -state36 -85.02720 4.53862 -18.734 < 0.0000000000000002 *** |
197 |
| -state4 -68.28980 27.50122 -2.483 0.013027 * |
198 |
| -state5 -144.20165 8.92408 -16.159 < 0.0000000000000002 *** |
199 |
| -state6 -71.93804 8.39931 -8.565 < 0.0000000000000002 *** |
200 |
| -state7 -41.36610 17.62915 -2.346 0.018958 * |
201 |
| -state8 -103.71783 6.46870 -16.034 < 0.0000000000000002 *** |
202 |
| -state9 -152.19543 5.27778 -28.837 < 0.0000000000000002 *** |
203 |
| ---- |
204 |
| -Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 |
205 |
| - |
206 |
| -Residual standard error: 94.36 on 37572 degrees of freedom |
207 |
| -Multiple R-squared: 0.4771, Adjusted R-squared: 0.4763 |
208 |
| -F-statistic: 553 on 62 and 37572 DF, p-value: < 0.00000000000000022 |
| 62 | +#+begin_src org |
| 63 | +- Call: |
| 64 | +- lm(formula = wage ~ sex |
| 65 | +- age |
| 66 | +- years_edu, data = worker) |
| 67 | +- Residuals: |
| 68 | +- Min 1Q Median 3Q Max |
| 69 | +- -292.30 -74.80 -14.61 57.25 2170.72 |
| 70 | +- Coefficients: |
| 71 | +- Estimate Std. Error t value Pr(>|t|) |
| 72 | +- (Intercept) 327.62380 3.44462 95.11 <0.0000000000000002 *** |
| 73 | +- sex -97.04291 1.67477 -57.94 <0.0000000000000002 *** |
| 74 | +- age 1.38151 0.05526 25.00 <0.0000000000000002 *** |
| 75 | +- years_edu 4.48268 0.15777 28.41 <0.0000000000000002 *** |
| 76 | +- --- |
| 77 | +- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 |
| 78 | +- Residual standard error: 121.9 on 37631 degrees of freedom |
| 79 | +- Multiple R-squared: 0.1261, Adjusted R-squared: 0.126 |
| 80 | +- F-statistic: 1809 on 3 and 37631 DF, p-value: < 0.00000000000000022 |
| 81 | +- Call: |
| 82 | +- lm(formula = wage ~ sex |
| 83 | +- age |
| 84 | +- years_edu |
| 85 | +- sector |
| 86 | +- social_group |
| 87 | +- religion |
| 88 | +- quarter, data = worker) |
| 89 | +- Residuals: |
| 90 | +- Min 1Q Median 3Q Max |
| 91 | +- -315.65 -72.11 -14.15 52.51 2140.20 |
| 92 | +- Coefficients: |
| 93 | +- Estimate Std. Error t value Pr(>|t|) |
| 94 | +- (Intercept) 257.94757 3.99129 64.628 < 0.0000000000000002 *** |
| 95 | +- sex -86.56036 1.65149 -52.414 < 0.0000000000000002 *** |
| 96 | +- age 1.23305 0.05423 22.735 < 0.0000000000000002 *** |
| 97 | +- years_edu 3.76046 0.15523 24.225 < 0.0000000000000002 *** |
| 98 | +- sector2 30.32294 1.41191 21.477 < 0.0000000000000002 *** |
| 99 | +- social_group2 29.29921 2.21158 13.248 < 0.0000000000000002 *** |
| 100 | +- social_group3 38.85215 2.10791 18.432 < 0.0000000000000002 *** |
| 101 | +- social_group9 36.39078 2.37599 15.316 < 0.0000000000000002 *** |
| 102 | +- religion2 15.28020 1.88933 8.088 0.000000000000000626 *** |
| 103 | +- religion3 70.06425 3.05735 22.917 < 0.0000000000000002 *** |
| 104 | +- religion4 0.90753 4.34322 0.209 0.834486 |
| 105 | +- religion5 9.92952 16.27422 0.610 0.541774 |
| 106 | +- religion6 -27.61440 5.46808 -5.050 0.000000443610331942 *** |
| 107 | +- religion7 -28.12453 44.72117 -0.629 0.529427 |
| 108 | +- religion9 22.53928 5.90700 3.816 0.000136 *** |
| 109 | +- quarterQ2 11.19254 1.98958 5.626 0.000000018618898647 *** |
| 110 | +- quarterQ3 15.15791 1.89871 7.983 0.000000000000001465 *** |
| 111 | +- quarterQ4 25.67351 1.85931 13.808 < 0.0000000000000002 *** |
| 112 | +- quarterQ5 32.23325 2.39793 13.442 < 0.0000000000000002 *** |
| 113 | +- --- |
| 114 | +- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 |
| 115 | +- Residual standard error: 118.3 on 37616 degrees of freedom |
| 116 | +- Multiple R-squared: 0.1778, Adjusted R-squared: 0.1774 |
| 117 | +- F-statistic: 451.8 on 18 and 37616 DF, p-value: < 0.00000000000000022 |
| 118 | +- Call: |
| 119 | +- lm(formula = wage ~ sex |
| 120 | +- age |
| 121 | +- years_edu |
| 122 | +- sector |
| 123 | +- social_group |
| 124 | +- religion |
| 125 | +- quarter |
| 126 | +- state, data = worker) |
| 127 | +- Residuals: |
| 128 | +- Min 1Q Median 3Q Max |
| 129 | +- -421.28 -53.87 -3.68 47.22 1919.02 |
| 130 | +- Coefficients: |
| 131 | +- Estimate Std. Error t value Pr(>|t|) |
| 132 | +- (Intercept) 444.01115 4.77338 93.018 < 0.0000000000000002 *** |
| 133 | +- sex -90.39577 1.35581 -66.673 < 0.0000000000000002 *** |
| 134 | +- age 0.09864 0.04447 2.218 0.026552 * |
| 135 | +- years_edu 0.78564 0.12845 6.116 0.00000000096630021 *** |
| 136 | +- sector2 20.38448 1.17589 17.335 < 0.0000000000000002 *** |
| 137 | +- social_group2 8.16327 1.89780 4.301 0.00001701239040995 *** |
| 138 | +- social_group3 7.00001 1.82389 3.838 0.000124 *** |
| 139 | +- social_group9 14.48824 2.02081 7.170 0.00000000000076649 *** |
| 140 | +- religion2 3.06706 1.61097 1.904 0.056937 . |
| 141 | +- religion3 3.99327 3.09503 1.290 0.196982 |
| 142 | +- religion4 1.21196 4.75423 0.255 0.798784 |
| 143 | +- religion5 18.31698 13.00836 1.408 0.159112 |
| 144 | +- religion6 11.40087 4.59791 2.480 0.013158 * |
| 145 | +- religion7 1.18490 35.69842 0.033 0.973522 |
| 146 | +- religion9 22.95917 4.86976 4.715 0.00000243003135992 *** |
| 147 | +- quarterQ2 10.21411 1.58877 6.429 0.00000000013002120 *** |
| 148 | +- quarterQ3 16.82258 1.51923 11.073 < 0.0000000000000002 *** |
| 149 | +- quarterQ4 25.14926 1.49016 16.877 < 0.0000000000000002 *** |
| 150 | +- quarterQ5 33.08983 1.95044 16.965 < 0.0000000000000002 *** |
| 151 | +- state02 -68.16250 5.62831 -12.111 < 0.0000000000000002 *** |
| 152 | +- state03 -96.24984 5.63379 -17.084 < 0.0000000000000002 *** |
| 153 | +- state04 -71.16512 23.87015 -2.981 0.002872 ** |
| 154 | +- state05 -115.06098 7.55209 -15.236 < 0.0000000000000002 *** |
| 155 | +- state06 -69.65578 5.27142 -13.214 < 0.0000000000000002 *** |
| 156 | +- state07 -46.63160 13.00126 -3.587 0.000335 *** |
| 157 | +- state08 -93.14096 4.86947 -19.128 < 0.0000000000000002 *** |
| 158 | +- state09 -130.45617 4.11177 -31.728 < 0.0000000000000002 *** |
| 159 | +- state1 -14.79943 6.61379 -2.238 0.025249 * |
| 160 | +- state10 -111.30326 4.22934 -26.317 < 0.0000000000000002 *** |
| 161 | +- state11 -30.89194 13.71763 -2.252 0.024329 * |
| 162 | +- state12 -69.11195 8.17680 -8.452 < 0.0000000000000002 *** |
| 163 | +- state13 -23.54944 16.54163 -1.424 0.154557 |
| 164 | +- state14 -58.14358 5.19732 -11.187 < 0.0000000000000002 *** |
| 165 | +- state15 -67.54526 6.62181 -10.200 < 0.0000000000000002 *** |
| 166 | +- state16 -45.92342 5.48738 -8.369 < 0.0000000000000002 *** |
| 167 | +- state17 -53.92123 6.67236 -8.081 0.00000000000000066 *** |
| 168 | +- state18 -86.09270 4.86428 -17.699 < 0.0000000000000002 *** |
| 169 | +- state19 -150.31537 3.89883 -38.554 < 0.0000000000000002 *** |
| 170 | +- state2 -56.38856 11.04817 -5.104 0.00000033437294375 *** |
| 171 | +- state20 -137.77298 4.59079 -30.011 < 0.0000000000000002 *** |
| 172 | +- state21 -147.27217 4.45380 -33.067 < 0.0000000000000002 *** |
| 173 | +- state22 -172.27146 4.70857 -36.587 < 0.0000000000000002 *** |
| 174 | +- state23 -161.52791 4.12939 -39.117 < 0.0000000000000002 *** |
| 175 | +- state24 -145.44044 4.54569 -31.995 < 0.0000000000000002 *** |
| 176 | +- state25 -63.12764 47.32958 -1.334 0.182281 |
| 177 | +- state26 -102.84861 30.08812 -3.418 0.000631 *** |
| 178 | +- state27 -142.91329 3.89854 -36.658 < 0.0000000000000002 *** |
| 179 | +- state28 -84.41173 4.12350 -20.471 < 0.0000000000000002 *** |
| 180 | +- state29 -100.69647 4.08499 -24.650 < 0.0000000000000002 *** |
| 181 | +- state3 -121.25472 6.44927 -18.801 < 0.0000000000000002 *** |
| 182 | +- state30 25.50491 11.26961 2.263 0.023632 * |
| 183 | +- state31 112.13284 13.52131 8.293 < 0.0000000000000002 *** |
| 184 | +- state32 146.37176 4.10836 35.628 < 0.0000000000000002 *** |
| 185 | +- state33 -40.33733 3.97872 -10.138 < 0.0000000000000002 *** |
| 186 | +- state34 -61.09002 6.25575 -9.765 < 0.0000000000000002 *** |
| 187 | +- state35 17.72228 8.72443 2.031 0.042227 * |
| 188 | +- state36 -85.02720 4.53862 -18.734 < 0.0000000000000002 *** |
| 189 | +- state4 -68.28980 27.50122 -2.483 0.013027 * |
| 190 | +- state5 -144.20165 8.92408 -16.159 < 0.0000000000000002 *** |
| 191 | +- state6 -71.93804 8.39931 -8.565 < 0.0000000000000002 *** |
| 192 | +- state7 -41.36610 17.62915 -2.346 0.018958 * |
| 193 | +- state8 -103.71783 6.46870 -16.034 < 0.0000000000000002 *** |
| 194 | +- state9 -152.19543 5.27778 -28.837 < 0.0000000000000002 *** |
| 195 | +- --- |
| 196 | +- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 |
| 197 | +- Residual standard error: 94.36 on 37572 degrees of freedom |
| 198 | +- Multiple R-squared: 0.4771, Adjusted R-squared: 0.4763 |
| 199 | +- F-statistic: 553 on 62 and 37572 DF, p-value: < 0.00000000000000022 |
| 200 | +#+end_src |
209 | 201 |
|
210 | 202 | #+NAME: sassociation3
|
211 | 203 | #+BEGIN_SRC R :results output graphics :file bsample2.png :width 2500 :height 1500 :res 300
|
|
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