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. Please use excel for answering

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)

6th Edition

ISBN:9781337111348

Author:Bruce Crauder, Benny Evans, Alan Noell

Publisher:Bruce Crauder, Benny Evans, Alan Noell

Chapter3: Straight Lines And Linear Functions

Section3.3: Modeling Data With Linear Functions

Problem 22E

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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.
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)
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)
NOTEl: PLEASE USE EXCEL FOR ANSWERING THIS QUESTION 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 $'s) during each of these three seasons during the past four years: Season Year 1 Year 2 Year 3 Year 4 1 1950 2096 2354 2395 2 2114 2277 2423 2531 3 1035 1127 1161 1178 Using this data, determine a forecast for the average weekly sales in year 5 for each of the three seasons. Graph the actual sales and forecasted sales for both the seasonal and de-seasonal data. Please use excel for answering
Boran Stockbrokers, Inc., selects four stocks for the purpose of developing its own index of stock market behavior. Prices per share for a year 1 base period, January year 3, and March year 3 follow. Base-year quantities are set on the basis of historical volumes for the four stocks. Stock Industry Year 1Quantity Price per Share ($) 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.)
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