Business at Terry's Tie Shop can be viewed as falling into three distinct seasons: (1) Christmas (November-December); (2) Father's Day (late May - mid-June); and (3) all other times. Average weekly sales (in $'s) during each of these three seasons during the past four years has been as follows: Season Year 1 Year 2 Year 3 Year 4 1 1810 1976 2241 2280 2008 2155 2306 2408 911 10545 1105 1120 Assuming that the sales is not experiencing any leaner increasing or decreasing trends. 1. Determine a forecast for the average weekly sales in year 5 for season1. (Round to two decimal places) Note: Please type a number and only a number in the text box. Answer: 23
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- 19 Business at Terry's Tie Shop can be viewed as falling into three distinct seasons: (1) Christmas (November-December); (2) Father's Day (late May - mid-June); and (3) all other times. Average weekly sales (in $'s) during each of these three seasons during the past four years has been as follows: Season Year 1 Year 2 Year 3 Year 4 1 1855 1932 2241 2280 2 2049 2168 2306 2408 3 992 5447 1105 1120 Assuming that the sales is not experiencing any leaner increasing or decreasing trends. Determine a forecast for the average weekly sales in year 5 for season1. (Round to two decimal places) 20 Determine a forecast for the average weekly sales in years 5 for season2. (Round to two decimal places)20 Business at Terry's Tie Shop can be viewed as falling into three distinct seasons: (1) Christmas (November-December); (2) Father's Day (late May - mid-June); and (3) all other times. Average weekly sales (in $'s) during each of these three seasons during the past four years has been as follows: Season Year 1 Year 2 Year 3 Year 4 1 1855 1932 2241 2280 2 2049 2168 2306 2408 3 992 5447 1105 1120 Determine a forecast for the average weekly sales in years 5 for season3. (Round to two decimal places)Business at Noocekim’s Watch and Clock repair can be viewed as falling into three distinct seasons: (1) Christmas (November-December); (2) Father's Day (late May - mid-June); and (3) all other times. A review of the financials for this company show the following weekly sales (in $'s) during each of these three seasons during the past four years: Season Year 1 Year 2 Year 3 Year 4 1 1950 2096 2354 2395 2 2114 2277 2423 2531 3 1035 1127 1161 1178 Using this data, determine a forecast for the average weekly sales in year 5 for each of the three seasons. Graph the actual sales and forecasted sales for both the seasonal and de-seasonal data. Please use excel for answering
- Business at Noocekim’s Watch and Clock repair can be viewed as falling into three distinct seasons: (1) Christmas (November-December); (2) Father's Day (late May - mid-June); and (3) all other times. A review of the financials for this company show the following weekly sales (in $'s) during each of these three seasons during the past four years: Season Year 1 Year 2 Year 3 Year 4 1 1950 2096 2354 2395 2 2114 2277 2423 2531 3 1035 1127 1161 1178 Using this data, determine a forecast for the average weekly sales in year 5 for each of the three seasons. Graph the actual sales and forecasted sales for both the seasonal and de-seasonal data.Boran Stockbrokers, Inc., selects four stocks for the purpose of developing its own index of stock market behavior. Prices per share for a year 1 base period, January year 3, and March year 3 follow. Base-year quantities are set on the basis of historical volumes for the four stocks. Stock Industry Year 1Quantity Price per Share ($) Year 1Base JanuaryYear 3 MarchYear 3 A Oil 100 29.50 24.75 22.50 B Computer 150 65.00 49.00 47.50 C Steel 75 40.00 33.00 29.50 D Real Estate 50 18.00 6.50 3.75 -Compute the price relatives for the four stocks making up the Boran index. (Round your answers to one decimal place.) Stock Price Relative January March A B C D Use the weighted average of price relatives to compute the January year 3 and March year 3 Boran indexes. (Round your answers to one decimal place.)Boran Stockbrokers, Inc., selects four stocks for the purpose of developing its own index of stock market behavior. Prices per share for a year 1 base period, January year 3, and March year 3 follow. Base-year quantities are set on the basis of historical volumes for the four stocks. Stock Industry Year 1Quantity Price per Share ($) Year 1Base JanuaryYear 3 MarchYear 3 A Oil 100 33.50 20.75 22.50 B Computer 150 65.00 49.00 47.50 C Steel 75 40.00 32.00 29.50 D Real Estate 50 18.00 6.50 4.75 Compute the price relatives for the four stocks making up the Boran index. (Round your answers to one decimal place.) Stock Price Relative Stock January March A ?? ? B ? ? C ? ? D ? ? Use the weighted average of price relatives to compute the January year 3 and March year 3 Boran indexes. (Round your answers to one decimal place.) IJan=?? IMar=??
- J 2 Business at Terry's Tie Shop can be viewed as falling into three distinct seasons: (1) Christmas (November-December); (2) Father's Day (late May - mid-June); and (3) all other times. Average weekly sales (in $'s) during each of these three seasons during the past four years has been as follows: Season Year 1 Year 2 Year 3 Year 4 1 1829 1968 2241 2280 2 2047 2189 2306 2408 3 929 10129 1105 1120 Assuming that the sales is not experiencing any leaner increasing or decreasing trends. 1. Determine a forecast for the average weekly sales in year 5 for season1. (Round to two decimal places) Note: Please type a number and only a number in the text box.Activity 2 :The following table summarizes the number of days taken by 100 customers to pay what they owe to a certain company. 36 35 19 44 35 36 24 20 27 24 15 24 42 26 31 26 17 30 17 28 33 37 28 34 45 30 35 25 45 30 20 31 30 36 39 31 36 34 37 33 34 27 22 31 23 13 43 18 42 18 38 19 40 25 29 45 31 29 32 23 28 32 28 32 30 31 29 28 29 41 30 41 32 29 33 46 44 28 21 22 52 42 14 29 23 37 38 21 37 33 32 29 35 35 24 26 44 61 60 45 Construct the frequency distribution for the dataset. Construct the relative frequency distribution for the dataset. Construct the cumulative frequency distribution for the dataset.