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📄 datas10.m

📁 一个非常实用的统计工具箱
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function x = datas10%*********************** Cost-of-Living Data *********************** %%Source:      Beck, J.H. and Quan, N.T. (1983)%%Taken From:  Quan, N.T. (1988), JBES, 6, 4, 501-504.%%Dimension:   38 observations on 8 variables%%Description: A study of the effects of right-to-work laws and geographic%             differences on the cost of living.  Observations are for the%             following cities:%        1 Atlanta             14 Dayton                  27 New York%        2 Austin              15 Denver                  28 Orlando%        3 Bakersfield         16 Detroit                 29 Philadelphia%        4 Baltimore           17 Green Bay               30 Pittsburgh%        5 Baton Rouge         18 Hartford                31 Portland%        6 Boston              19 Houston                 32 St. Louis%        7 Buffalo             20 Indianapolis            33 San Diego%        8 Champaign-Urbana    21 Kansas City             34 San Francisco%        9 Cedar Rapids        22 Lancaster, PA           35 Seattle%       10 Chicago             23 Los Angeles             36 Washington%       11 Cincinnati          24 Milwaukee               37 Wichita%       12 Cleveland           25 Minneapolis, St. Paul   38 Raleigh-Durham%       13 Dalas               26 Nashville%%Column       Definition%  1     Population density in the ith SMSA, in 1975, in terms of persons%        per square mile. From U. S. Bureau of the Census, 1978, County and%        City Data Book, 1977.%  2     State Unionization rate in 12978.  From the U. S. Bureau of Labor%        Statistics, Handbook of Labor Statistics, December 1980, p. 414.%  3     Total population in the ith SMSA, in 1975.  From the US Bureau of%        the Census, 1978, County and City Data Book, 1977.%  4     The average cost of living for a four-person family living on an%        intermediate budget in the ith SMSA in 1978.  From the US Bureau%        of the Census, Statistical Abstract of the United States, 1979.%  5     The 1972 per capita level of property taxes in the ith SMSA.  From%        the US Bureau of the Census, 1978, County and City Data Book, 1977.%        Except New York and Washington, DC, data were from the U.S. Bureau%        of Census, 1974.%  6     The 1974 per capita income in the ith SMSA.  From the US Bureau of%        the Census, 1978, County and City Data Book, 1977.%  7     Temperature is measured as average annual degree days, 1931-1960.%        From the US Weather Bureau, 1962, Decennial Census of United States%        Climate - Monthly Normals of Temperature, Precipitation, and%        Heating Degree Days.%        (Due to lack of published data for Champaign, IL, Cedar Rapids, IA,%        and Lancaster, PA, degree days for Springfield, IL, Waterloo, IA,%        and Harrisburg, PA, respectively, were used for the missing data.)%  8     A dummy variable with a value of 1, if there is right-to-work%        legislation in the state where the ith SMSA is located, 0 otherwise%        From the US Bureau of Labor Statistics, 1980, Handbook of Labor%        Statistics, December 1980, p. 414.x = [     414    13.6  1790128        169       5128       2961     1      16897     239    11     396891        143       4303       1711     1      16221      43    23.7   349874        339       4166       2122     0      17168     951    21    2147850        173       5001       4654     0      18699     255    16     411725         99       3965       1620     1      16806    1257    24.4  3914071        363       4928       5634     0      22117     834    39.2  1326848        253       4471       7213     0      19517     162    31.5   162304        117       4813       5535     0      19076     229    18.2   164145        294       4839       7224     1      18224    1886    31.5  7015251        291       5408       6113     0      18794     643    29.5  1381196        170       4637       4806     0      18354    1295    29.5  1966725        239       5138       6432     0      18987     302    11    2527224        174       4923       2363     1      16714     489    29.5   835708        183       4787       5606     0      17430     304    15.2  1413318        227       5386       5982     0      18565    1130    34.6  4424382        255       5246       6275     0      19145     323    27.8   169467        249       4289       8214     0      18490     696    21.9  1062565        326       5134       6235     0      19392     337    11    2286247        194       5084       1278     1      17114     371    29.3  1138753        251       4837       5699     0      18193     386    30    1290110        201       5052       4868     0      18262     362    34.2   342797        124       4377       5205     0      17982    1717    23.7  6986898        340       5281       1349     0      17722     968    27.8  1409363        328       5176       7635     0      20025     433    24.4  2010841        265       5206       8392     0      19389     183    17.7   748493        120       4454       3578     1      16627    6908    39.2  9561089        323       5260       4862     0      21587     230    11.7   582664        117       4613        782     1      16334    1353    34.2  4807001        182       4877       5144     0      19416     762    34.2  2322224        169       4677       5987     0      18008     201    23.1   228417        267       4123       7511     0      19186     480    30    2366542        184       4721       4809     0      17897     372    23.7  1584583        256       4837       1458     0      17707    1266    23.7  3140306        381       5940       3015     0      19427     333    33.1  1406746        195       5416       4424     0      18671    1073    21    3021801        205       6404       4224     0      20105     157    12.8   384920        206       4796       4620     1      17783     302     6.5   468512        126       4614       3393     1      18074];

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