Changing the expenditure of A or B are having effect of the outcome of Candidate As vote. However, we
are not able to test the hypothesis in second part because we dont have the standard error (or
confident interval) for 1+2.
First, let X=1+2 => that is,
N=88 R^2=.5883 lpricehat=4.766027+.003794*sqrft+.0288844*bdrms
The coefficent of the 1=150*1+2
1 =150*.0003794+.0288844 =0.085794
That is, adding one 150-square foot bedroom is increasing 8.5794% of the housing price.
The coefficient of the inc and age are the following:
The slope coefficient for inc and age are both make sense because more income and age (the elder
person would have more experi
The coefficient of the inc is changed when we look at the simple regression model of nettfa and inc;
however, the change is not that big because the correlation between inc and age are within an
Lpsodahat = -1.46 + 0.073prpblck + .137
Lpsodahat = -.84 + .098prpblck - .053Lincome +.052prppov +.121Lhseval
1% increase in house price leads to .12% increase in psoda.
2 sided p-value is 0.000
The individual statistical p-value drops for both lincome and proppov when the lhsev