Suppose that a researcher wants to predict crime (y) as predicted by urbanization (x). When creating a regression line between crime and urbanization, the equation comes out to: y = 43.27 +1.798x Using the equation above, find the predicted crime rate if urbanization is at 54%. Round your answer to two decimal places:

A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y-a+bx a=37,525 b=-1.215 =0,790321 T==0,889 Use this to predict the number of situps a person who watches 6.5 hours of TV can do (to one decimal place) 19.7 Question Help: o Message instructor Submit Question MacBook Pro esc 288 F4 F3 F7 #3 & 2 6 7 Q T Y A S G C V B * LO

A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y%3ax+b a=-1.219 b=29.882 r2=0.727609 r=-0.853 Use this to predict the number of situps a person who watches 11 hours of TV can do (to one decimal place)

Data from 147 colleges from 1995 to 2005 (Lee,2008) were tested to predict the endowments (in billions) to a college from the average SAT score of students attending the college. The resulting regression equation was Y = -20.46 + 4.06 (X). This regression indicates that: a. for every one-point increase in SAT scores, a college can expect 4.06 billion more in endowments. b. most colleges have very high endowments. c. for every one-point increase in SAT scores, a college can expect 20.46 billion fewer in endowments. d. for every one-dollar increase in endowments, the college can expect a half-point increase in SAT scores.