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TABLE 16-12
A local store developed a multiplicative time-series model to forecast its revenues in future quarters,using quarterly data on its revenues during the 5-year period from 2008 to 2012.The following is the resulting regression equation:
log10
= 6.102 + 0.012 X - 0.129 Q1 - 0.054 Q2 + 0.098 Q3
where is the estimated number of contracts in a quarter
X is the coded quarterly value with X = 0 in the first quarter of 2008
Q1 is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise
Q2 is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise is a dummy variable equal to 1 in the third quarter of a year and 0 otherwise
-Referring to Table 16-12,to obtain a fitted value for the fourth quarter of 2009 using the model,which of the following sets of values should be used in the regression equation?
State Unemployment
Government programs funded by payroll taxes on employers, providing financial assistance to workers who have lost their jobs.
Q2: Referring to Table 16-6,the forecast for sales
Q4: Referring to Table 14-5,what is the p-value
Q13: True or False: The Variance Inflationary Factor
Q22: Referring to Table 16-14,in testing the coefficient
Q99: Referring to Table 18-8,construct an R chart
Q121: Referring to Table 16-4,a centered 5-year moving
Q133: True or False: Referring to Table 16-13,you
Q144: Referring to Table 16-4,exponential smoothing with a
Q264: True or False: Referring to Table 17-9,the
Q301: Referring to Table 17-3,the analyst wants to