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Stata软件数据分析

su grp invention utility designVariable | Obs Mean Std. Dev. Min Max-------------+--------------------------------------------------------grp | 525 6425.765 7679.254 56.11 53210.28 invention | 525 759.6838 1882.529 0 18242utility | 525 3438.417 6847.051 1 56030design | 525 3140.771 10331.39 0 135358su grp invention utility design是对grp invention utility design四个变量进行描述性分析,su是summarize的缩写,描述性分析的结果是变量个数是525个变量,mean表示平均值,他们的平均值分别是grp 6425.765;invention759.6838;utility3438.417;design3140.771 ;std.dev 是standard deviation的缩写,表示标准偏差,一种量度数据分布的分散程度之标准,用以衡量数据值偏离算术平均值的程度。

标准偏差越小,这些值偏离平均值就越少,反之亦然。

标准偏差的大小可通过标准偏差与平均值的倍率关系来衡量。

Gr,p的标准偏差是7679.254;invention的标准偏差是1882.529;utility的标准偏差是6847.051;design的标准偏差是10331.39。

min和max的意思是最小值和最大值。

变量grp的最小值是56.11,最大值是53210.28;变量invention的最小值是0,最大值是18242;变量utility的最小值是1,最大值是56030;变量design的最小值是0,最大值是135358;. corr grp invention utility design(obs=525)| grp invent~n utility design-------------+------------------------------------grp | 1.0000invention | 0.7444 1.0000utility | 0.8911 0.8416 1.0000design | 0.7314 0.6906 0.8477 1.0000. corr grp invention utility design是对grp invention utility design四个变量进行相关系数分析,corr是correlation的缩写,对grp的系数分析得知invention和utility以及design对其影响都很大,他们的影响系数分别是0.7444,0.8911,0.7314。

它表示的含义是grp每增加1各单位则invention增加0.7444,utility增加0.8911,design增加0.7314;grp和utility,design对invention的影响系数分别是0.7444,0.8416,0.6906。

则表示invention每增加1个单位,grp增加0.7444,utility增加0.8416,design增加0.6906;以下同理:grp,invention和design 对utility的影响系数分别是0.8911,0.8416,0.8477。

grp,invention和utility对design的影响系数分别是0.7314,0.6906,0.8477。

. reg grp inventionSource | SS df MS Number of obs = 525-------------+------------------------------ F( 1, 523) = 650.12 Model | 1.7125e+10 1 1.7125e+10 Prob > F = 0.0000 Residual | 1.3776e+10 523 26340676.7 R-squared = 0.5542 -------------+------------------------------ Adj R-squared = 0.5533 Total | 3.0901e+10 524 58970946.6 Root MSE = 5132.3------------------------------------------------------------------------------grp | Coef. Std. Err. t P>|t| [95% Conf. Interval]-------------+----------------------------------------------------------------invention | 3.036708 .1190985 25.50 0.000 2.802737 3.270678 _cons | 4118.827 241.5757 17.05 0.000 3644.249 4593.405------------------------------------------------------------------------------reg grp invention utilitySource | SS df MS Number of obs = 525-------------+------------------------------ F( 2, 522) = 1006.68Model | 2.4539e+10 2 1.2269e+10 Prob > F = 0.0000 Residual | 6.3621e+09 522 12187928.4 R-squared = 0.7941-------------+------------------------------ Adj R-squared = 0.7933Total | 3.0901e+10 524 58970946.6 Root MSE = 3491.1------------------------------------------------------------------------------grp | Coef. Std. Err. t P>|t| [95% Conf. Interval]-------------+----------------------------------------------------------------invention | -.0774197 .1500177 -0.52 0.606 -.3721322 .2172929utility | 1.017288 .0412459 24.66 0.000 .9362599 1.098316_cons | 2986.718 170.6159 17.51 0.000 2651.54 3321.896------------------------------------------------------------------------------reg grp invention utility designSource | SS df MS Number of obs = 525-------------+------------------------------ F( 3, 521) = 678.70Model | 2.4605e+10 3 8.2016e+09 Prob > F = 0.0000 Residual | 6.2959e+09 521 12084345 R-squared = 0.7963-------------+------------------------------ Adj R-squared = 0.7951Total | 3.0901e+10 524 58970946.6 Root MSE = 3476.3------------------------------------------------------------------------------grp | Coef. Std. Err. t P>|t| [95% Conf. Interval]-------------+----------------------------------------------------------------invention | -.1055016 .1498602 -0.70 0.482 -.3999061 .1889029utility | 1.106995 .0561848 19.70 0.000 .996618 1.217371design | -.0650498 .027802 -2.34 0.020 -.1196677 -.0104319_cons | 2903.91 173.5366 16.73 0.000 2562.992 3244.827------------------------------------------------------------------------------ss,df,ms分别表示回归的总变异,解释变异和残差变异,R-squared,Adj R-squared,F分别表示r平方值,调整后的r平方值;其中F是指自变量所有系数都为0(即自变量没有解释力的时候)这样的一个0假设的f分布。

下面的表格是指回归的斜率和截距的系数,相应的标准差,t值和p值(用以判断回归的意义),同时给出了在95%的置信区间。

line grp inventionscatter grp utility. sunflower grp designBin width = 6152.64 Bin height = 5080.11 Bin aspect ratio = .71506 Max obs in a bin = 235 Light = 3 Dark = 13 X-center = 507 Y-center = 3905.03 Petal weight = 17。

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