Present a real world example or from a journal paper that entails a time series technique. Include either one of the following patterns: trend patterns, cyclical pattern, seasonal patterns or auto-correlation effect in the data sets.
We can use the real world example of the stock market prices from the various years data and use the data to analyse the pattern and recommend users about the the stocks that might go higher. where we can see that in this data set there is a Trend pattern that follows along the data set as the stock market prices increases and decreases as the trend in the market changes with the time period like when Apple iPhone was launched back in 2007 the stock prices of the Apple go higher than the expected value and this Trend follow us on every year when new products are launched by apple and decreases after a period of two months to a constant value throughout the rest of the year and same goes for the pattern of the other companies for stocks in the stock market.
Get Answers For Free
Most questions answered within 1 hours.