1. The trend component of a time series canbe examined (1) by using regression t

Question

1. The trend component of a time series canbe examined (1) by using regression techniques to fit a trend lineto the data, or (2) by using smoothing techniques to moderate thepeaks and valleys within the series. (Points: 2)
      True
       False


2. A common method of testing forautocollinearity (serial correlation) is a Durbin-Watson test.(Points: 2)
       True
       False


3. 1. In reference to the equation: y hat=-0.25 + 0.08x1 + 0.10x2, the value -0.25 is :(Points: 2)
       A) predicted value of y
       B) partial regression coefficient forx1
       C) partial regression coefficient forx2
       D) predicted value of y when x1= 0 andx2= 0.
       E) predicted value of y when x1= 2 andx2= 1.


4. The component of a time series that hasrepeating patterns that have a period longer than one year is the:(Points: 2)
       A) irregular component
       B) trend component
       C) seasonal component
       D) cyclical component


5. In determining monthly seasonal indexesfor gas consumption, the sum of the 12 means for gas consumption asa percentage of the moving average is 1150. To get the seasonalindexes, each of the 12 monthly means is to be multiplied by:(Points: 2)
       A) 1200 / 1150
       B) (1200 + 1150) / 12
       C) (1150 + 12) / 1200
       D) 1150 / 1200

Explanation / Answer

1. True 2. True. The Durbin-Watson test is used to measureautocorrelation. 3. D) predicted value of y when x1= 0 and x2=0. 4. D) cyclical component My apologies, but I don't really understand number 5. How can thepercentage be 1150?

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