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Find solutions for the following questions... fRegression 3, N-24 Regression Analysis: Concession1000 versus .. ndee100, Time, Trend2 Model Summary 5 R-sq R-sqladj) R-sq(pred) 16.7914 92.23%

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\fRegression 3, N-24 Regression Analysis: Concession1000 versus .. ndee100, Time, Trend2 Model Summary 5 R-sq R-sqladj) R-sq(pred) 16.7914 92.23% 91.07% 88.67%% Coefficients Term Coef SE Coef T-Value P-Value VIF Constant 180.0 15.1 11.92 0.000 Attendee100 -0.260 0.441 -0.59 0.562 1.03 Time 0.43 2.09 0.21 0.838 17.77 Trend2 0.2804 0.0809 3.47 0.002 17.68 Durbin-Watson Statistic Durbin-Watson Statistic = 1.83488 The manager's autocorrelation analysis included the following three regressions. Using Regression 3, do a test of positive first order autocorrelation. Choose whether the following are true or false. In general, the problem with autocorrelation is that time series data are correlated overtime, thus one knows a lot about Yt, by knowing the value of last periods Y...Yt-1. True 0 Fake search e e 9Determine whether the value is a discrete random variable, continuous random variable, or not a random variable. a. The number of light bulbs that burn out in the next week in a room with 16 bulbs b. The number of freethrow attempts before the rst shot is made c. The gender of college students d. The exad time it takes to evaluate 2?+ T2 e. The square footage of a house f. The amount of snowfall in December in City A a. Is the number of light bulbs that burn out in the next week in a room with 16 bulbs a discrete random variable, a continuous random variable, or not a random variable? 0 A. It is a discrete random variable. 0 B. It is a continuous random variable. 0 C. It is not a random variable. b. Is the number of freethrowI attempts before the rst shot is made a discrete random variable, a continuous random variable, or not a random variable? 0 A. It is a discrete random variable. 0 B. It is a continuous random variable. 0 C. It is not a random variable c. Is the gender of college students a discrete random variable, a continuous random variable, or not a random variable? 0 A. It is a continuous random variable. 0 B. It is a d'mcrete random variable. 0 C. It is not a random variable. d. Is the exact time it takes to evaluate 2? +?2 a discrete random variable. a continuous random variable. or not a random variable? 0 A. It is a continuous random variable. 0 B. It is a discrete random variable. 0 C. It is not a random variable. e. Is the square footage of a house a discrete random variable, a continuous random variable. or note random variable? 0 A. It is a continuous random variable 0 B. It is a discrete random variable. H r I| :. .mo .. "ml...\" .....:..L.I.. Determine whether the following value is a continuous random variable, discrete randorn variable, or not a random variable. 4. The number of textbook authors now eating a meal b. The "yes" or "no" response to a survey question c. The height of a randomly selected person d. The number of light bulbs that burn out in the next year in a room with 20 bulbs e. The number of home runs in a baseball game f. The amount of rain in City A during July a. is the number of textbook authors now eating a meal a discrete random variable, continuous random variable, or not a random variable? O A. It is a continuous random variable Q B. It is a discrete random variable. O C. It is not a random variable b. is the "you" or "no" response to a survey question a discrole random variable, continuous random variable, or not a random variable? Q A It is a discrete random variable. O B, It is a continuous random variable, C. it is not a random variable. c. is the height of a randomly selected person a discrete random variable, continuous random variable, or not a random valable? A. it is a discrete random variable. B. It is a continuous random variable. C C. it is not a random variable d. is the number of light bulbs that burn out in the next year in a room with 20 bulbs a cincrete random variable, continuous random variable, or not a random variable7 O A It is a discrete random variable,Let X a normal random variable with mean / and variance of . Consider Z = X - H Then Z is a O normal random variable standard normal random variable O geometric random variable O uniform continuous random variable O Bernoulli random variable O Binomial random variable O exponential random variable

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