South Shore Construction builds permanent docks and seawalls along the southern shore of long island, new...

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South Shore Construction builds permanent docks and seawallsalong the southern shore of long island, new york. Although thefirm has been in business for only five years, revenue hasincreased from $320,000 in the first year of operation to$1,116,000 in the most recent year. The following data show thequarterly sales revenue in thousands of dollars:

QuarterYear 1Year 2Year 3Year 4Year 5
123597692184
2103158156202290
3178267327384453
416484982

189

a. Use Excel Solver to find the coefficients of a multipleregression model with dummy variables as follows to develop anequation to account for seasonal effects in the data. Qtr1 = 1 ifQuarter 1, 0 otherwise; Qtr2 = 1 if Quarter 2, 0 otherwise; Qtr3 =1 if Quarter 3, 0 otherwise. Round your answers to two decimalplaces.

Ft = _ + _Qtr1 + _Qtr2 + _Qtr3

b. Let Period = 1 to refer to the observation in Quarter 1 ofyear 1; Period = 2 to refer to the observation in Quarter 2 of year1; . . . and Period = 20 to refer to the observation in Quarter 4of year 5. Using the dummy variables defined in part (b) andPeriod, develop an equation to account for seasonal effects and anylinear trend in the time series using Excel Solver. Round youranswers to two decimal places. If your answer is negative valueenter minus sign.

Ft = _ + _Qtr1 + _Qtr2 + _Qtr3 + _Period

Based upon the seasonal effects in the data and linear trend,compute estimates of quarterly sales for year 6. Round your answersto one decimal place.

Quarter 1 forecast =

Quarter 2 forecast =

Quarter 3 forecast =

Quarter 4 forecast =

Answer & Explanation Solved by verified expert
4.0 Ratings (668 Votes)
first part the estimated model is given as Ft 768 10Qtr1 105Qtr2 245Qtr3 Quarter 1 forecast 768 101 1050 2450 868 Quarter 2 forecast 768 100 1051 24501818 Quarter 3 forecast 768 100 1050 24513218 Quarter 4 forecast 768 100 1050 2450768 following information has been generated using msexcel SUMMARY OUTPUT Regression Statistics Multiple R    See Answer
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