Time series plot 2 What type of pattern exists in the data? There appears to be a seasonal pattern in the data and perhaps a upward linear trend b. Use the following dummy variables to develop an estimated regression equation to account for any seasonal effects in the data: Qtr1 = 1 if Quarter 1, 0 otherwise; Qtr2 = 1 if Quarter 2, 0 otherwise; Qtr3 = 1 if Quarter 3, 0 otherwise. Round your answers to whole number. Revenue= 72 + Qtr1 + Compute the quarterly forecasts for next year. Quarter 1 forecast 80 Quarter 2 forecast 180 Quarter 3 forecast 313 Qtr2 + Qtr3 Quarter 4 forecast 72 c. Let Period = 1 to refer to the observation in quarter 1 of year 1; Period = 2 to refer to the observation in quarter 2 of year 1; . . . and Period = 20 to refer to the observation in quarter 4 of year 3. Using the dummy variables defined in part (b) and Period, develop an estimated regression equation to account for seasonal effects and any linear trend in the time series. Based upon the seasonal effects in the data and linear trend, compute the quarterly forecasts for next year. Round your answers to whole number. Enter negative value as negative number. The regression equation is: Revenue= -70 S + x Qtr1 + Qtr2 + Qtr3 + 11.675 Period The quarterly forecasts for next year are as follows: Quarter 1 forecast 220.1 Quarter 2 forecast Quarter 3 forecast 455.1 Quarter 4 forecast Hide Feedback MacBook Air Exercise 17.32 Algorithmic eBook ◄ Question 8 of 11. Check My Work South Shore Construction builds permanent docks and seawalls along the southern shore of Long Island, New York. Although the firm has been in business only five years, revenue has Increased from $320,000 in the first year of operation to $1,084,000 in the most recent year. The following data show the quarterly sales revenue in thousands of dollars. a. Which of the following is the correct time series plot? 1. TimeSeriesValue 450----1 400 1350 300 250 200 150 L 100% Quarter Year 1 Year 2 Year 3 Year 4 Year 5 1 23 37 72 93 178 2 109 132 161 210 292 3 175 236 330 391 435 4 13 26 55 89 179 MacBook Air

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I need help with the rest of the answers for b. and c.

Time series plot 2
What type of pattern exists in the data?
There appears to be a seasonal pattern in the data and perhaps a upward linear trend
b. Use the following dummy variables to develop an estimated regression equation to account for any seasonal effects in the data: Qtr1 = 1 if Quarter 1, 0 otherwise; Qtr2 = 1 if
Quarter 2, 0 otherwise; Qtr3 = 1 if Quarter 3, 0 otherwise. Round your answers to whole number.
Revenue=
72
+
Qtr1 +
Compute the quarterly forecasts for next year.
Quarter 1 forecast
80
Quarter 2 forecast
180
Quarter 3 forecast
313
Qtr2 +
Qtr3
Quarter 4 forecast
72
c. Let Period = 1 to refer to the observation in quarter 1 of year 1; Period = 2 to refer to the observation in quarter 2 of year 1; . . . and Period = 20 to refer to the observation in
quarter 4 of year 3. Using the dummy variables defined in part (b) and Period, develop an estimated regression equation to account for seasonal effects and any linear trend in the time
series. Based upon the seasonal effects in the data and linear trend, compute the quarterly forecasts for next year. Round your answers to whole number. Enter negative value as
negative number.
The regression equation is:
Revenue=
-70
S
+
x
Qtr1 +
Qtr2 +
Qtr3 + 11.675 Period
The quarterly forecasts for next year are as follows:
Quarter 1 forecast
220.1
Quarter 2 forecast
Quarter 3 forecast
455.1
Quarter 4 forecast
Hide Feedback
MacBook Air
Transcribed Image Text:Time series plot 2 What type of pattern exists in the data? There appears to be a seasonal pattern in the data and perhaps a upward linear trend b. Use the following dummy variables to develop an estimated regression equation to account for any seasonal effects in the data: Qtr1 = 1 if Quarter 1, 0 otherwise; Qtr2 = 1 if Quarter 2, 0 otherwise; Qtr3 = 1 if Quarter 3, 0 otherwise. Round your answers to whole number. Revenue= 72 + Qtr1 + Compute the quarterly forecasts for next year. Quarter 1 forecast 80 Quarter 2 forecast 180 Quarter 3 forecast 313 Qtr2 + Qtr3 Quarter 4 forecast 72 c. Let Period = 1 to refer to the observation in quarter 1 of year 1; Period = 2 to refer to the observation in quarter 2 of year 1; . . . and Period = 20 to refer to the observation in quarter 4 of year 3. Using the dummy variables defined in part (b) and Period, develop an estimated regression equation to account for seasonal effects and any linear trend in the time series. Based upon the seasonal effects in the data and linear trend, compute the quarterly forecasts for next year. Round your answers to whole number. Enter negative value as negative number. The regression equation is: Revenue= -70 S + x Qtr1 + Qtr2 + Qtr3 + 11.675 Period The quarterly forecasts for next year are as follows: Quarter 1 forecast 220.1 Quarter 2 forecast Quarter 3 forecast 455.1 Quarter 4 forecast Hide Feedback MacBook Air
Exercise 17.32 Algorithmic
eBook
◄ Question 8 of 11.
Check My Work
South Shore Construction builds permanent docks and seawalls along the southern shore of Long Island, New York. Although the firm has been in business only five years, revenue has
Increased from $320,000 in the first year of operation to $1,084,000 in the most recent year. The following data show the quarterly sales revenue in thousands of dollars.
a. Which of the following is the correct time series plot?
1.
TimeSeriesValue
450----1
400
1350
300
250
200
150
L
100%
Quarter
Year 1
Year 2
Year 3
Year 4
Year 5
1
23
37
72
93
178
2
109
132
161
210
292
3
175
236
330
391
435
4
13
26
55
89
179
MacBook Air
Transcribed Image Text:Exercise 17.32 Algorithmic eBook ◄ Question 8 of 11. Check My Work South Shore Construction builds permanent docks and seawalls along the southern shore of Long Island, New York. Although the firm has been in business only five years, revenue has Increased from $320,000 in the first year of operation to $1,084,000 in the most recent year. The following data show the quarterly sales revenue in thousands of dollars. a. Which of the following is the correct time series plot? 1. TimeSeriesValue 450----1 400 1350 300 250 200 150 L 100% Quarter Year 1 Year 2 Year 3 Year 4 Year 5 1 23 37 72 93 178 2 109 132 161 210 292 3 175 236 330 391 435 4 13 26 55 89 179 MacBook Air
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