forecaster used the following regression equation and quarterly sales data during 2005II-2013IV (t = 1, ..., 35) for an appliance manufacturer to obtain the estimation results shown below. Q is quarterly sales, and ,and are seasonal dummy variables for quarters I, II, and III.
a. At the 2 percent level of significance, the critical value of the t-statistic is _______.
The parameter estimate of a ________ (is, is not) statistically significant.
The parameter estimate of b ________ (is, is not) statistically significant.
The parameter estimate of
________ (is, is not) statistically significant.
The parameter estimate of
________ (is, is not) statistically significant.
The parameter estimate of
________ (is, is not) statistically significant.
b. The statistical estimates indicate a(n) ___________ (upward, downward) trend in sales of _________ units per quarter year.
c. The estimated intercepts for each of the four quarters are:
Intercept for quarter 1 is __________.
Intercept for quarter 2 is __________.
Intercept for quarter 3 is __________.
Intercept for quarter 4 is __________.
d. The forecasted sales for the 1st quarter of 2014 are ___________ units.
The forecasted sales for the 2nd quarter of 2014 are ___________ units.
The forecasted sales for the 3rd quarter of 2014 are ___________ units.
The forecasted sales for the 4th quarter of 2014 are ___________ units.
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