Imagine you are an investor who has a special interest in trading shares in oil and gas companies. In so doing, you regularly monitor the prices of stocks in this sector. To assist with your future trading activity, you are presently monitoring the historical performance of major oil and gas companies. To do so, you have decided to fit trend lines using Tableau to the oil and gas price stock data set provided. This activity now requires you to explain your trend lines using the principles of predictive analytics. In so doing address a line of inquiry, eg. which stocks have performed better across time? Next you need to develop a number of other predictive lines of inquiry based on this data set and illustrate your answer with visualisations using Tableau. For example, when is the best month to sell for maximising the sales price of your stock? Your analysis may include all oil and gas stocks provided or a select few, with justification as to why you selected these stocks. Provide a reflection on whether you can rely on historical trends alone in making your investment decisions? What type of market conditions might influence your decision and are there any independent experts (Delphi method) that might influence your future judgement?