The existing data contains the dates in column A and the sales revenue in column B. That is, we need to predict the sales values based on the predictive values for the last one year data. We need to figure out the sales for the given upcoming months. So in this example, we have existing sales data of a company for the year 2017 that increases linearly from Jan 2017 to Dec 2017. So, using the TREND function in excel above, we predicted the three values of Y for the given new test scores. Applying the same TREND formula in excel to other cells, we have We fixed the range for known values of X and Y and passed the new value of X as a reference value. Known_y’s: It is a required argument that represents the set of y-values that we already have as existing data in a dataset that follows the relationship y = mx + c. Syntaxįor the given linear equation, y = m*x + c read more that finds the line of best fit (is a line through a scatter graph of data points that foremost indicates the relationship between those points) for a given dataset, which helps to visualize the relationship between the data points. It is a technique used in the regression analysis Regression Analysis Regression analysis depicts how dependent variables will change when one or more independent variables change due to factors, and it is used to analyze the relationship between dependent and independent variables. The Trend function in Excel returns numbers in a linear trend matching known data points that is the existing data on which the trend in excel predicts the values of Y dependent on values of X needs to be linear data. It calculates the predictive values of Y for given array values of X and uses the least square method based on the given two data series.
Trend function in Excel is a Statistical Function that computes the linear trend line based on the given linear set of data.
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