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1). Which of the following statements about exponential smoothing is false? a).

ID: 3157752 • Letter: 1

Question

1). Which of the following statements about exponential smoothing is false?

a). It takes into account all earlier observations in the time series.

b). It’s like a weighted average method.

c). It gives the greatest weight to the earliest/oldest observation.

d). None of the above is false.

2). Which of the following can be a guideline for selecting a model for forecast?

a). Perform a residual analysis.

b). Measure the magnitude of the residual error through standard error of the estimate.

c). Measure the magnitude of the residual error through mean absolute deviation or mean absolute percentage error.

d). All the above.

3). Although a polynomial regression model of order two or more is nonlinear, when it is fitted to the data we use the _______ regression to make this fit.

            a). nonlinear

            b). logarithmic

            c). polynomial

            d). linear

4). How many coefficients have to be estimated in the quadratic regression model y = 0+ 1x + 2x2+ ?

            a). 4

            b). 3

            c). 2

            d). 1

5). The coefficient of determination R2 cannot be used to compare the linear and quadratic models, because:

            a). the quadratic model has one parameter more to estimate.

            b). the quadratic model has two parameters more to estimate.

            c). the quadratic model always has a lower R2.

            d). R2 is not defined for the quadratic model.

Explanation / Answer

1)d (all the above are correct)

2)d

3)d linear

4)c

5)a so it has higher R2 than linear