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Which of the following is true of the exponential smoothing coefficient? a. It is a randomly generated value between -1 and +1. b. It is small for a time series that has relatively little random variability. c. It is chosen as the value that minimizes a selected measure of forecast accuracy such as the mean squared error. d. It is computed in relation with the order value, k, for the moving averages.

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Select all that applyPredictions with the exponential regression model are made by yˆ=exp(b0+b1x+se2/2). Which of the following is true?b0 and b1 are the standard errors of the estimatesse2 is the standard error of the estimateb0 and b1 are the coefficient estimatesse is the standard error of the estimate

The exponential regression model is specified as ln(y) = β0 + β1x + ε. What does β1 × 100 measure?The approximate change in E(y) when x increases by 100 unitsThe approximate percentage change in E(y) when x increases by 100 unitsThe approximate percentage change in E(y) when x increases by one unitThe approximate change in E(y) when x increases by one unit

Select all that applyA useful method to interpret the estimated coefficient is to highlight the changing impact of x on p. For instance, given x = 10, we compute the predicted probability as 0.4256. For x = 11, the predicted probability is pˆ=0.4700. Therefore, as x increases by one unit from 10 to 11, the predicted probability changes. Which of the following is true? Select all that apply!The predicted probability increases by 0.0444 if x increases from 20 to 21The predicted probability changes by 0.0444 but it could increase or decreaseThe predicted probability increases by 0.0444The increase in pˆ will not be the same if x increases from 20 to 21

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