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Take-home Exam Name___________________________________ MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the...

HI, My name is Tommy Turner I'm trying to complete this Practice Exam for Business Analytics I uploaded it in an attachment file.  I'm stuck on question 3,5,6,7,8,9,10!  Thank You!!

Take-home Exam Name___________________________________ MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question (each question is worth 3 points). THIS IS INDIVIDUAL WORK. NO TEAMWORK.☺ 1) Quarterly sales data (in \$10,000) for a small company specializing in green cleaning products are shown in the time series graph below. The forecasting method that would likely fit these data the best is A)linear trend. B) single exponential smoothing. C)moving average. D)naive. E)seasonal regression model. 2)A fourth-order autoregressive model, Lag(4) was fit to monthly closing stock prices, adjusted for dividends, of Boeing Corporation from January 2006 through August 2009 (closing price on the first trading day of the month). Based on the results shown below, the estimated model is Final Estimates of Parameters Type Coef SE Coef T P Lag1 0.8546 0.1898 4.51 0.000 Lag2 0.7386 0.1603 4.61 0.000 Lag3 -0.0764 0.1959 -0.39 0.699 Lag4 -0.0452 0.1245 -0.36 0.597 Constant 9.784 1.223 8.00 0.000 1
A) Price (t) = 9.784 + 0.8546 Lag1 + 0.7386 Lag2 - 0.0764 Lag3-0.0452 Lag4 B) None of these. C) Price (t) = 1.223 + 0.1898 Lag1 + 0.1603 Lag2 + 0.1959 Lag3 + 0.1245 Lag4 D) Price (t) = 9.784 - 0.0764 Lag1 + 0.7386 Lag2 + 0.8546 Lag3 – 0.0452 Lag4 E) Price (t) = 1.223 + 0.1959 Lag1 + 0.1603 Lag2 + 0.1898 Lag3 +0.1245 Lag4 3)A fourth-order autoregressive model, Lag(4) was fit to monthly closing stock prices, adjusted for dividends, of Boeing Corporation from January 2006 through August 2009 (closing price on the first trading day of the month). Based on the results shown below, at a = .05 which of the following statement is true? Final Estimates of Parameters Type Coef SE Coef T P Lag1 0.8546 0.1898 4.51 0.000 Lag2 0.7386 0.1603 4.61 0.000 Lag3 -0.0764 0.1959 -0.39 0.699 Lag4 -0.0452 0.1245 -0.36 0.597 Constant 9.784 1.223 8.00 0.000 I.the first and second lagged variable is significant. II.the fourth lagged variable is significant. III.the second lagged variable is not significant. A)I only B) Both II and III C)I, II, and III D)III only E)II only 4)For the following data, the forecasted monthly return for January 2008 using a three- month moving average is Month Monthly Return (%) July 2.20 August 2.5 September 1.8 October 1.4 November 1.1 December 1.9 A) 1.55 B) 1.77 C) 1.47 D) 1.9 E) 2.47 5)A third-order autoregressive model, AR (3) was fit to monthly closing stock prices, adjusted for dividends, of Boeing Corporation from January 2006 through August 2008 2
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