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Week7-1

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cattom committed 2026-10-23 15:52:32 +08:00
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Week7/income_group_summary.csv
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income,n,mean_consume,sd_consume,min_consume,max_consume,fitted_mean,mean_residual
800,4,605,34.7850542618522,561,638,605.96992745968,-.969927459679752
1100,6,825,121.697986836266,638,968,824.609549968307,.390450031692808
1400,11,1045,116.309071013399,869,1210,1043.24917247693,1.75082752306525
1700,13,1265,137.683211273803,1023,1485,1261.88879498556,3.1112050144377
2000,13,1485,135.988357344786,1254,1716,1480.52841749419,4.47158250581015
2300,13,1682.15384615385,154.878902239699,1408,1947,1699.16804000282,-17.014193848971
2600,13,1925,165.183231594493,1650,2200,1917.80766251144,7.19233748855527
2900,10,2136.2,125.612101327858,1969,2310,2136.44728502007,-.247285020072923
3200,9,2350.33333333333,203.425662097976,2090,2640,2355.0869075287,-4.75357419536658
3500,6,2583.16666666667,248.065649912814,2299,2860,2573.72653003733,9.44013662933912
1 income n mean_consume sd_consume min_consume max_consume fitted_mean mean_residual
2 800 4 605 34.7850542618522 561 638 605.96992745968 -.969927459679752
3 1100 6 825 121.697986836266 638 968 824.609549968307 .390450031692808
4 1400 11 1045 116.309071013399 869 1210 1043.24917247693 1.75082752306525
5 1700 13 1265 137.683211273803 1023 1485 1261.88879498556 3.1112050144377
6 2000 13 1485 135.988357344786 1254 1716 1480.52841749419 4.47158250581015
7 2300 13 1682.15384615385 154.878902239699 1408 1947 1699.16804000282 -17.014193848971
8 2600 13 1925 165.183231594493 1650 2200 1917.80766251144 7.19233748855527
9 2900 10 2136.2 125.612101327858 1969 2310 2136.44728502007 -.247285020072923
10 3200 9 2350.33333333333 203.425662097976 2090 2640 2355.0869075287 -4.75357419536658
11 3500 6 2583.16666666667 248.065649912814 2299 2860 2573.72653003733 9.44013662933912