(d) Let t = 1 refer to the observation in Quarter 1 of Year 1; let t = 2 refer to the observation in Quarter 2 of Year 1;... and t = 12 to refer to the observation in Quarter 4 of Year 3. Using the dummy variables defined in part (b) and also using t, develop an equation to account for seasonal effects and any linear trend in the time series. (Round your numerical values to the nearest integer.) Ŷ=e+fQrtl + gQrt2 +hQrt3+ i(t− 2) +j-(t−2)Qrtl + k(t− 2)Qrt2 + I(t− 2). Qrt3 Based upon the seasonal effects in the data and linear trend, compute the quarterly forecasts for year 4. (Round your answers to the nearest ten.) quarter 1 forecast quarter forecast quarter 3 forecast quarter 4 forecast 3204 x 2,260 1,230 3,100 X X

As a Sales Head for a consumer durable firm, you wish to have sales forecast trends based on past sales rendered. Briefly describe the methods of forecasting future demand on the basis of past sales.

From the following annual data of sales (in 000 .$.) Find the trend values by using least square method. Also estimate the sales of 2014. Year 2004 2005 2006 2007 2008 2009 2010 Sales {In 000 $} 77 88 94 85 91 98 90

A study on the probable savings of students after 5 years based in their saving for the past year. O Descriptive research O Correlational research Experimental Research O Historical quantitative research Causal research

Year Season Sales 2018 Winter 40 2018 Spring 29 2018 Summer 31 2018 Fall 40 2019 Winter 102 2019 Spring 87 2019 Summer 96 2019 Fall 132 2020 Winter 105 2020 Spring 93 2020 Summer 105 2020 Fall 117 2021 Winter 141 2021 Spring 39 2021 Summer 114 2021 Fall 123 What is the slope of the trend equation obtained by linear regression? Round to two decimal digits. What is the intercept of the trend equation obtained by linear regression? Round to two decimal digits. What is the seasonal index for Spring? Round to two decimal digits. The quarter number for Winter of 2018 is 1. What is the quarter number for Spring of 2025? What is the trend based forecast for Spring of 2025. Round to a whole number. What is the seasonally adjusted trend based forecast for Spring of 2025?  Please do not use excel to find the slope and intercept, thank you so much!

four techniques used for forecasting sales (market researchers, delphi technique, trend analysis, and econometric models) were introduced. What are some factors when preparing a sales forecast that would lead you to rely on one or two of these techniques more than the others? Support your choice with evidence.

Please help with correct answers: step by step: last time submitted- answers were incorrect A statistical program is recommended. The quarterly sales data (number of copies sold) for a college textbook over the past three years follow. Quarter Year 1 Year 2 Year 3 1 1,690 1,800 1,850 2 940 900 1,100 3 2,625 2,900 2,930 4 2,500 2,360 2,615 a) Use a regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. (Round your numerical values to the nearest integer.) Qrt1 = 1 if quarter 1, 0 otherwise; Qrt2 = 1 if quarter 2, 0 otherwise; Qrt3 = 1 if quarter 3, 0 otherwise t =    b) Using the equation developed in part (b), compute the quarterly forecasts for year 4. (Round your answers to the nearest ten.) quarter 1 forecast____? quarter 2 forecast____? quarter 3 forecast ____? quarter 4 forecast ____?   c) Let t = 1 refer to the observation in Quarter 1 of Year 1; let  t = 2 refer to the observation in Quarter 2 of Year…

Side-by-side box plots are typically a good way to begin the analysis when comparing two populations. a. True   b. False

Quarterly sales of a local department store over a 4-year period are given below: Quarters 2016 Q1 Sales (in millions) 500 Quarters 2018 Q1 Sales (in millions) 560 2016 Q2 490 580 2018 Q2 2018 Q3 2018 Q4 2019 Q1 2019 Q2 2016 Q3 570 630 2016 Q4 2017 Q1 2017 Q2 750 720 480 540 500 590 2017 Q3 580 2019 Q3 620 2017 Q4 740 2019 Q4 790 The data shows sign of seasonality. By computing seasonal indices for each quarter, forecast the sales for each quarter in year 2020, given that the estimated sales in 2020 is

For the data below, compute the MAD, MSE, and bias:   FORECAST SALES ACTUAL SALES 100 105 110 117 120 115 130 139 140 140