What is the difference between forecast and trend functions in excel




















The values of Y can be calculated for the values of X inside or outside the known range of X values. The trend here can be used to either interpolate or extrapolate the data. Similarly, in terms of Excel , the understanding goes like this:. While inputting these values to run and execute, it delivers the baby Y which is the forecast value. This also means that the forecast in Excel will also help in generating single values or output that is derived from the input values. The constant value, for example, means that you have limited amount to spend each month, or the converse—that there is no limit to the amount you are able to spend each month.

This function will help you deliver baby Y values as their result. You can also say that the trend function will either help you deliver a single value, or a series of values. A series is usually shown as an array, followed by functionality as a result.

Trend: It is something which represents for current day. Say the trend of the youth in today's generation is carrying Android Mobiles. Similarly, in terms of Excel understanding:.

You must be logged in to see the comments. Log in now! If you have no account yet, you can register now! It only takes a few seconds. Excel SocialNews Recharge. Hi there, What is your word on this topic? Let me explain the general meaning first: Forecast: It is something which assumes for future. Similarly, in terms of Excel understanding The Excel TREND function is used to calculate a linear trend line through a given set of dependent y-values and, optionally, a set of independent x-values and return values along the trend line.

Additionally, the TREND function can extend the trendline into the future to project dependent y-values for a set of new x-values. The equation for the line is as follows. Since the new values are returned as an array, you won't be able to edit or delete them individually. At first sight, the syntax of the TREND function might seem excessively complicated, but the following examples will make things a lot easier. Supposing you are analyzing some data for a sequential period of time and you want to spot a trend or pattern.

In this example, we have the month numbers independent x-values in A2:A13 and sales numbers dependent y-values in B2:B Based on this data, we want to determine the overall trend in the time series ignoring hills and valleys. As the result, you have both the numeric values for the line of best fit returned by the formula and a visual representation of those values in a graph:.



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