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theou/courses/28281/quizzes/99067/take Regression 1. Regression Analysis: Concession1000 versus Attendee100 N=24 Model Summary 5 R-sq R-sqladj) R-sq(pred) 57.4275 0.05% 0.00% 0.00% Coefficients Term Coef SE Coef T-Value P-Value VIF Constant 231.7 41.6 5.57 0.000 Attendee100 0.15 1.49 0.10 0.921 1.00 Durbin-Watson Statistic Durbin-Watson Statistic = 0.178614 The manager of a concert venue wants to better understand the relationship between his concession revenue Y=Concess1000 and the number attending the concerts in 100's (Attendee 100) resulting in Regression 1 (very low adj R2). What might the problem be with this time series regression? O VIF - 1 indicates that multicollinearity is likely the problem. The high value of the Durbin Watson indicates that autocorrelation is not likely to be a problem The low value of the Durbin Watson Statistic indicates auto correlation is likely a problem The data observations on attendees are clearly mismeasured as suggested by the low adj. R2. e e W 98 1 point Let X a normal random variable with mean ( and variance o . Consider Z = X - # Then Z isa exponential random variable Binomial random variable geometric random variable OOOOOOO standard normal random variable Bernoulli random variable normal random variable uniform continuous random variable PreviousDetermine whether the value is a discrete random variable, continuous random variable, or not a random variable. a. The height of a randomly selected giraffe b. The number of points scored during a basketball game c. The political party affiliation of adults in the United States d. The number of people with blood type A in a random sample of 14 people e. The number of free-throw attempts before the first shot is made f. The number of light bulbs that burn out in the next week in a room with 17 bulbs a. Is the height of a randomly selected giraffe a discrete random variable, a continuous random variable, or not a random variable? O A. It is a discrete random variable. O B. It is a continuous random variable. O C. It is not a random variable. b. Is the number of points scored during a basketball game a discrete random variable, a continuous random variable, or not a random variable? O A. It is a continuous random variable. O B. It is a discrete random variable. O C. It is not a random variable c. Is the political party affiliation of adults in the United States a discrete random variable, a continuous random variable, or not a random variable? O A. It is a continuous random variable. O B. It is a discrete random variable. O C. It is not a random variable. d. Is the number of people with blood type A in a random sample of 14 people a discrete random variable, a continuous random variable, or not a random variable? O A. It is a discrete random variable. O B. It is a continuous random variable. O C. It is not a random variable.Determine whether the value is a discrete random variable, continuous random variable, or not a random variable. a. The amount of snowfall in December in City A b. The time required to download a file from the Internet c. The political party affiliation of adults in the United States d. The number of bald eagles in a country e. The distance a baseball travels in the air after being hit f. The weight of a T-bone steak a. Is the amount of snowfall in December in City A a discrete random variable, a continuous random variable, or not a random variable? O A. It is a discrete random variable. O B. It is a continuous random variable. O C. It is not a random variable. b. Is the time required to download a file from the Internet a discrete random variable, a continuous random variable, or not a random variable? O A. It is a continuous random variable. O B. It is a discrete random variable. O C. It is not a random variable c. Is the political party affiliation of adults in the United States a discrete random variable, a continuous random variable, or not a random variable? O A. It is a continuous random variable. O B. It is a discrete random variable. O C. It is not a random variable.The following equation is estimated, where you is also an explanatory variable and the following results are obtained: y, = 2.7 +0.4x, + 0.9y,-1 (0.4) (0.06) n=200, R? =0.98, and DW=1.9 a. What does the Durbin Watson statistic test? What assumptions are used to calculate the Durbin- Watson statistic? For a DW of 1.9, what does this imply about the regression equation? b. Irrespective of your answer in part (a), how would you correct for AR(1) in this model