INTERCEPT and SLOPE return a #DIV/0! error. For example, if the data points of the known_y's argument are 0 and the data points of the known_x's argument are 1: The difference between these algorithms can lead to different results when data is undetermined and collinear. The underlying algorithm used in the INTERCEPT and SLOPE functions is different than the underlying algorithm used in the LINEST function. The equation for the intercept of the regression line, a, is:Īnd where x and y are the sample means AVERAGE(known_x's) and AVERAGE(known_y's). If known_y's and known_x's contain a different number of data points or contain no data points, INTERCEPT returns the #N/A error value. If an array or reference argument contains text, logical values, or empty cells, those values are ignored however, cells with the value zero are included. The arguments should be either numbers or names, arrays, or references that contain numbers. The independent set of observations or data. The dependent set of observations or data. The INTERCEPT function syntax has the following arguments: For example, you can use the INTERCEPT function to predict a metal's electrical resistance at 0☌ when your data points were taken at room temperature and higher.

Use the INTERCEPT function when you want to determine the value of the dependent variable when the independent variable is 0 (zero). The intercept point is based on a best-fit regression line plotted through the known x-values and known y-values.

DescriptionĬalculates the point at which a line will intersect the y-axis by using existing x-values and y-values. This article describes the formula syntax and usage of the INTERCEPT function in Microsoft Excel.

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