1.Using the results from the regression analysis, the equation that can be used to forecast is

Select one:

a.

Visits=938.338+(425.094*Q1)+(235.188*Q2)+(428.706*Q3)+(-7.694*Trend)

b.

Visits=(938.338*Q1)+(425.094*Q2)+(235.188*Q3)+(428.706*Q4)+(-7.694*Trend)

c.

Visits=(938.338*Trend)+(425.094*Q1)+(235.188*Q2)+(428.706*Q3)+(-7.694*Q4)

d.

None of the above.

2. To calculate the forecasted value for the third quarter of 2019, which answer shows the correct values for Q1, Q2, and Q3?

a.

Q1=0, Q2=0, and Q3=1

b.

Q1=0, Q2=1, and Q3=0

c.

Q1=1, Q2=1, and Q3=0

d.

Q1=0, Q2=0, and Q3=0

3.To calculate the forecasted value for the fourth quarter of 2019, which answer shows the correct values for Q1, Q2, and Q3?

a.

Q1=0, Q2=1, and Q3=0

b.

Q1=1, Q2=1, and Q3=0

c.

Q1=0, Q2=0, and Q3=0

d.

Q1=0, Q2=0, and Q3=1

4. The forecasted value for the 3rd quarter of 2019 is

Select one:

a.

1205.470

b.

1201.863

c.

776.769

d.

1011.956

5. The forecasted value for the 4th quarter of 2019 is

Select one:

a.

1197.781

b.

1194.169

c.

769.070

d.

1004.263

6. The forecasted value for the 3rd quarter of 2019 using a two-period moving average is

Select one:

a.

1169

b.

776.5

c.

1095.5

d.

1022

7.The forecasted value for the 3rd quarter of 2019 using a four-period moving average is

Select one:

a.

907.33

b.

1047

c.

1095.5

d.

1071.25

8. If the third quarter value for 2019 is actually observed to be 1,198, which forecasting method (the two-period moving average, the four-period moving average, or the seasonalized regression analysis), resulted in a forecasted value closest to the actual observed value?

a.

All of the methods were equally close to the actual observed value for Q3 of 2019.

b.

seasonalized regression

c.

four-period moving average

d.

two-period moving average