变量:
Y=a+bx1+cx2+dx3+ex4
Y=ln(每年在商店里的总支出)
X1=joinedboots是否为此店会员
(是=1;否=0)
X2=female是否为女性
(是=1;否=0)
X3=pvtesco1认为此会员卡十分有价值
(是=1;否=0)
X4=pvtesco2认为此会员卡回报率一般
(是=1;否=0)
X5=pvtesco3没有意见或不是会员
(是=1;否=0)
X6=pvtesco4认为此会员卡毫无用处
(是=1;否=0)
X7=ln(每年的可支配收入)
结果:
. reg lnaeboots joinedboots2 female pvboots1 pvboots2 pvboots4 lnin_boots
Source | SS df MS Number of obs = 165
-------------+------------------------------ F( 6, 158) = 19.46
Model | 199.95038 6 33.3250634 Prob > F = 0.0000
Residual | 270.607248 158 1.7127041 R-squared = 0.4249
-------------+------------------------------ Adj R-squared = 0.4031
Total | 470.557629 164 2.86925383 Root MSE = 1.3087
------------------------------------------------------------------------------
lnaeboots | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
joinedb~ts2| .7253586 .2811661 2.58 0.011 .1700296 1.280688
female | .5282722 .2274297 2.32 0.021 .0790776 .9774668
pvboots1| 1.653673 .3719839 4.45 0.000 .9189703 2.388375
pvboots | .8935553 .3088118 2.89 0.004 .2836235 1.503487
pvboot4 | .9756913 .3614999 2.70 0.008 .2616956 1.689687
lnin_b~ts | .2562943 .0973996 2.63 0.009 .0639211 .4486675
_cons | .277557 .6524367 0.43 0.671 -1.011065 1.56618
------------------------------------------------------------------------------
请问,这个回归的系数应当如何理解?
这些理解正确么?
Boots商店的会员比非会员多花72%的钱;
女性消费者比男性消费者多花52.8%的钱;
认为会员卡很有价值的会员花的钱是非会员的1.6倍;
可支配收入提高1%,每年在这家店的花销会增长25%?
常数项p值为0.671, 说明这个回归不对么?
R2为0.4249,是说明只有50%不到的数据被这个方程解释么?
Membersof this store spend 72% more than nonmembers;
Femalecustomers spend 52.8% more than males;
Thosewho perceive Boots as of good value spend 1.6 times the spending of someone whohas not joined the scheme;
1%increase in disposable income, leads to 25% increase in annual spending inBoots
问题比较基本,但对我来说十万火急,恳请回答,十分感谢!!!!



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