Question
19- Simple exponential smoothing models differ from moving average models in that A- Simple exponential smoothing models use weighted averages of the data whereas moving
19- Simple exponential smoothing models differ from moving average models in that
A- Simple exponential smoothing models use weighted averages of the data whereas moving average models use simple averages
B-Moving average models use weighted averages of the data whereas simple exponential smoothing models use simple averages
C- Both are correct
D- Both are wrong
20-What is the forecast for 02/10 using single exponential smoothing if alpha=0.2 and forecast for 01/10 is 200?
Date My Bakery Sales Yhat
01/10 300 ?
02/10 500
03/10 600
04/10 750
A- 250
B-220
C-230
D-240
E-Can't be determined with the information provided
21- what is the forecast error for 02/10 using single exponential smoothing, if alpha=0.2 and forecast for 01/10 is 200?
Date my bakery sales yhat
01/10 300 ?
02/10 500
03/10 600
04/10 750
A- 250
B-260
C-280
D-270
E-Can't be determined with the information provided
22- which of the following is NOT an ARIMA step?
A- Diagnostic checks
B- Assumptions check
C- Forecasting
D- Model Estimation
E-Model identification
23- The autocorrelation function shows two spike at lag lengths one and two. such a series can be modeled as a -------modle
A- AR(3)
B-AR(2)
C-MA(3)
D-MA(2)
E- All of the above are possible depending on how PACF looks
24- When looking at regression what measurement should you look at to detect multicollinearity in the model?
A- DW
B-P-value
C-F-Statistic
25- Which of the following statement is true based on the regression equation given below
IQ=7.00+2.2* Reading ability
-
-
-
-Reading ability is not a good predictor of IQ
A- A unit change in IQ will result in a 2.2 unit increase In reading ability
B- A unit change in IQ will result in a 7.00 unit increase in reading ability
C- A unit change in reading ability will increase IQ by 2.2 unit
D- IQ will be 116 for a reading ability level of 45
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