Question: Please help solve this problem. * Select your answer a 1 What type of pattern exists in the data? There appears to be a seasonal

Please help solve this problem.

Please help solve this problem. * Select your answer a 1 Whattype of pattern exists in the data? There appears to be a

* Select your answer a 1 What type of pattern exists in the data? There appears to be a seasonal pattern in the data and perhaps a . b. Use the following dummy variables to develop an estimated regression equation to account for any seasonal effects in the data: Qttl = 1 if Quarter 1, 0 otherwise; Quz = 1 if Quarter 2, 0 othenNise; Qtr3 = 1 if Quarter 3, 0 otherwise. Round your answers to whole number. Mmm:t::j+t::jmn+t::jmm+t::jma Compute the quarterly forecasts for next year. Quarter 1 forecast Quarter 2 forecast Quarter 3 forecast Quarter 4 forecast 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 quarter4 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: Mmm=t::j+t::jmu+[::jma+:::jma+[::jwmd The quarterly forecasts for next year are as follows: Quarter 1 forecast Quarter 2 forecast Quarter 3 forecast Quarter 4 forecast DEED DUDE 9 10 11 12 13 14 15 16 17 1E! 19 20 TirnePeriad{t) South Shore Construction builds permanent docks and seawalls along the southern shore of Long Island, New York. Although the rm has been in business only ve years, revenue has increased from $315,000 in the rst year of operation to $1,075,000 in the most recent year. The following data show the quarterly sales revenue in thousands of dollars. Quarter Year 1 Year 2 Year 3 Year 4 Year 5 1 24 4D 80 92 163 2 97 144 154 197 292 3 17'2 245 329 389 439 4 22 23 48 83 181 3. Which of the following is the correct time series plot

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