एक कंपनी योगात्मक समय श्रृंखला मॉडल Y = 5,000 + 4,000X का उपयोग करती है, जहां X तिमाही संख्या को दर्शाता है (वर्ष 1 की पहली तिमाही Q1 के लिए X = 1 है)। Q1 के लिए मौसमी भिन्नता घटक +3,000 इकाइयाँ है। वर्ष 4 की पहली तिमाही (Q1) के लिए पूर्वानुमानित बिक्री मात्रा क्या होगी?

FTX Co has identified the trend line relating to its sales revenue as 2,000 + 25X, where X denotes the quarter number. The first quarter of 20X5 is represented by X = 13, the second quarter of 20X5 as X = 14, and so on. FTX Co uses a multiplicative model with the following seasonal variations: • Quarter 1: -20% • Quarter 2: -8% • Quarter 3: +4% • Quarter 4: +24% What is FTX Co's seasonally adjusted sales revenue forecast for the third quarter of 20X7?

A time series model of sales volume has the following trend and additive seasonal variation: Trend: Y = 5,000 + 4,000X Where Y = quarterly sales volume in units, and X = the quarter number (where the first quarter of 20X6 = quarter 17, the second quarter of 20X6 = quarter 18, etc.). Seasonal variations: - First Quarter: +3,000 units - Second Quarter: +1,000 units - Third Quarter: -1,500 units - Fourth Quarter: -2,500 units What would be the time series forecast of sales units for the third quarter of 20X7?