Answers Smart Home Device Sales EvTel is preparing to enter the smart home market. Thus, they are conducting market research in Istanbul. The company is planning to analyze the past 3 years' smart home device sales data with various forecasting methods to predict future sales. Help the company with the analysis by solving the questions below. Orun, the product manager of EvTel needs insight about the sales trends of the smart home market. He managed to find the past market sales data of some smart home oriented companies. Answer the following questions by using the table given. Part 1 Years Quarters Past Sales 01 What is the difference between the sales of the first quarter of 2018 and the first quarter of 2019? Report a positive number 165.949,00 01 What is the total sales at the end of 2020? 02 142.620,00 03 2018 Part 2 What percentage of the total sales at the end of 2020, occurred in the second quarter of 2020? Orun needs you to fit 3 time-series; Linear, 3rd Degree Polynomial, and Power trendlines to the past quarterly sales of the smart home market. 2018-Q3 Linear According to your trendlines, report the projected sales for the given periods and trendlines. 2019-01 3rd Degree Polynomial 2019-04 Power 03 04 Q1 Q2 03 01 171.411,00 256.212.00 240.004,00 270.351,00 259.041,00 2019 02 Find the difference between the estimated sales according to the 3rd Degree Polynomial and Power Trendlines for the first half of 2022. Report a positive number 04 308.751,00 Q3 According to the Power Trendline, when will EvTel reach 14979808,0 total sales? Click Here 101 414.058,00 04 2020 art 3 Decide which trendline has the best fit for the actual data. Then, report the sales of the third quarter of 2021 for that method Orun asked you the following questions about forecasting methods and theory. For Polynomial Trendlines, the higher the degree is the better forecasting results are A better fit to the actual data guarantees better forecasts of the future. 02 Q3 04 546.812,00 671.035,00 741.837,00 Q1 22 Click Here Click Here Answers Smart Home Device Sales EvTel is preparing to enter the smart home market. Thus, they are conducting market research in Istanbul. The company is planning to analyze the past 3 years' smart home device sales data with various forecasting methods to predict future sales. Help the company with the analysis by solving the questions below. Orun, the product manager of EvTel needs insight about the sales trends of the smart home market. He managed to find the past market sales data of some smart home oriented companies. Answer the following questions by using the table given. Part 1 Years Quarters Past Sales 01 What is the difference between the sales of the first quarter of 2018 and the first quarter of 2019? Report a positive number 165.949,00 01 What is the total sales at the end of 2020? 02 142.620,00 03 2018 Part 2 What percentage of the total sales at the end of 2020, occurred in the second quarter of 2020? Orun needs you to fit 3 time-series; Linear, 3rd Degree Polynomial, and Power trendlines to the past quarterly sales of the smart home market. 2018-Q3 Linear According to your trendlines, report the projected sales for the given periods and trendlines. 2019-01 3rd Degree Polynomial 2019-04 Power 03 04 Q1 Q2 03 01 171.411,00 256.212.00 240.004,00 270.351,00 259.041,00 2019 02 Find the difference between the estimated sales according to the 3rd Degree Polynomial and Power Trendlines for the first half of 2022. Report a positive number 04 308.751,00 Q3 According to the Power Trendline, when will EvTel reach 14979808,0 total sales? Click Here 101 414.058,00 04 2020 art 3 Decide which trendline has the best fit for the actual data. Then, report the sales of the third quarter of 2021 for that method Orun asked you the following questions about forecasting methods and theory. For Polynomial Trendlines, the higher the degree is the better forecasting results are A better fit to the actual data guarantees better forecasts of the future. 02 Q3 04 546.812,00 671.035,00 741.837,00 Q1 22 Click Here Click Here