Consider the following simple linear regression model: Yi = βo + β1Xi + εt with εt = rho1εt-1 + rho2εtâ2 + μt. The structure of the error term is an example of: a. First-order autocorrelation
b. One that can be detected with a Durbin-Watson test
c. Perfect multicollinearity of the error term
d. Heteroskedasticity

The two cylinders are similar. if the ratio of their surface areas is 9/1.44 find the volume of each cylinder. round your answer to the nearest hundredth. a. small cylinder: 152.00 m3 large cylinder: 950.02 m3 b. small cylinder: 972.14 m3 large cylinder: 12,924.24 m3 c. small cylinder: 851.22 m3 large cylinder: 13,300.25 m3 d. small cylinder: 682.95 m3 large cylinder: 13,539.68 m3

If 7x=9y, y/z = 7/5 , then x/z = (a) 2/7 (b) 7/9 (c) 9/5 (d) 9/7 (e) 5/9

Match the one-to-one functions with their inverse functions.