Chapter 8 Hw Solutions Essentials of Political Analysis

HW Chapter 8 Essentials of Political Analysis, 4th Edition 1,3 Stata companion Ch 8 1,6

1a. He is hypothesizing a negative correlation between x and y because as development increases, religiosity decreases.

1b. –e graphs

histogram fem_role, discrete percent fcolor (blue) xlabel (0 (1) 12, labsize (small) angle (forty_five) valuelabel)

recode polview3 (1/3=1) (4=2) (5/7=3) (.=.), gen (polview3)

Ch 8 HW

1F. His conclusion is wrong because Pearson’s r and R –square are different. He needs to square r so that he can examine the relationship between the independent and dependent variable. If he squares -.7- he will get an R-square value that will show that approx. 49% of religiosity variation can be explained by economic development.

3.A. The regression equation is yhat=ahat+bhat(x)+e example on page 189

Y=32+26=60/2=30 x=0

Y=26+22=48/2=24 30-24=6 20+16=36/2=18 14+10=24/2=12 8+4=12/6=6

There is a six mile decrease for y for every 10 unit change for x; therefore a 1 unit change in x there is a -.6 change in y. Regression coefficient is -.6.

3B. The y intercepts tells me that census blocks with 0 percent blacks are usually located about 30 miles from the hazardous waste facilities. 30 miles would be the average distance in this case.

3C. 30-.6(15)=21 miles for 15% black and 30-.6(25)=15 miles for 25% black

3D. 94% of the variation in the DV (distance to facility) will be explained by the IV (percent black).

8. reg civlibs educ exploit3 pol_trust polviews