A linear trend equation for sales of the form

Qt=a+bt was estimated using annual sales data for the period 2003 - 2010 (i.e.,t= 2003, 2004, ..., 2010). The results of the regression are as follows:

Dependent Variable:Q

t

QtR

2

R2F-ratiop-value on FObservations: 80.703414.230.0093VariableParameter EstimateStandard Errort-ratiop-valueIntercept-23,024,2008,122,205-2.830.0298t12,0456,0751.980.0947

The parameter estimates for the intercept andtvariable are both statistically significant at the 10% level.

Select one:

True

False

The statistical estimates indicate a(n) ___________ (upward, downward) trend in sales of _________ units per year.

Select one:

a.Upward; 12,045

b.Upward; 6,075

c.Downward; 23,024,200

d.Upward; 70.34%

In 2011, sales are forecasted to be _________ units.

Select one:

a.14,056

b.3,456,285

c.-22,915,795

d.1,198,295

Why would certain data be seasonally adjusted?

Select one:

a.If sales were expected to be down each season (summer, fall, winter, and spring) during a particular year.

b.If, historically, there were predictable upward or downward trends in the data during winter or summer months.