Assume that Assumptions TS.1, TS.2, TS.3, and TS.4 all hold. (i) Suppose we think that the errors 5ut6 follow an AR(1) model with parameter r and so we apply the Prais-Winsten method. If the errors do not follow an AR(1) model—for example, suppose they follow an AR(2) model, or an MA(1) model—why will the usual Prais-Winsten standard errors be incorrect?

x + y = 90 5x – 10y = 90 90 – 10y = 5x 90 + 10y = 5x

step-by-step explanation:

last month maria hiked the 5-mile mountain trail a number of times and she hiked the 10-mile canal trail several times. let x represent the number of times she hiked the 5-mile trail, and let y represent the number of times she hiked the 10-mile trail. if she hiked a total of 90 miles, which equation can be used to find the number of times maria hiked each trail? x + y = 90 5x – 10y = 90 90 – 10y = 5x 90 + 10y = 5x

step-by-step explanation:

what are the statements? and what do you mean by "216 2 1 6"?

cant

step-by-step explanation: there is no picture