SLOPE
TheSLOPE
formula calculates the slope of the linear regression line that best fits the input data. It is commonly used in statistics to analyze trends and predict future values based on past performance.
 How to use
SLOPE
formula?  Examples of using
SLOPE
formula SLOPE
formula not working? Similar formulas to
SLOPE
Usage
Use the SLOPE
formula with the syntax shown below, it has 2 required parameters:
 data_y (required):
An array or range of cells representing the dependent variable data points. The length of this array or range should be equal to or greater than the length of thedata_x
parameter.  data_x (required):
An array or range of cells representing the independent variable data points. The length of this array or range should be equal to or greater than the length of thedata_y
parameter.
Examples
Here are a few example use cases that explain how to use theSLOPE
formula in Google Sheets.
Predicting future values
By calculating the slope of the linear regression line using past performance data, you can use the SLOPE
formula to predict future values based on the input of new data points.
Analyzing trends
The SLOPE
formula can be used to analyze the trend of a set of data points over time, and determine if the trend is increasing or decreasing.
Comparing trends
You can use the SLOPE
formula to compare the trends of two sets of data points over the same time period, and determine which trend is steeper or more gradual.
Common Mistakes
SLOPE
not working? Here are some common mistakes people make when using the SLOPE
Google Sheets Formula:
Mismatched array sizes
The data_y
and data_x
arrays must be the same size. If they are different sizes, the formula will return an error.
Nonnumeric data
The data_y
and data_x
arrays must contain only numeric data. If they contain nonnumeric data, the formula will return an error.
Related Formulas
The following functions are similar to SLOPE
or are often used with it in a formula:

INTERCEPT
The
INTERCEPT
function calculates the point where the line of best fit for a set of data intercepts the yaxis. This function is commonly used in regression analysis to find the constant b in the equation y=mx+b where m is the slope of the regression line. 
CORREL
The
CORREL
formula returns the correlation coefficient between two sets of data. This coefficient represents the strength of the linear relationship between the two sets of data, with values ranging from 1 (perfect negative correlation) to 1 (perfect positive correlation). 
FORECAST
The
FORECAST
function in Google Sheets is a statistical function that predicts a future value along a linear trend. It returns the predicted value for a chosen x value based on the linear regression of a set of known x and y values. This function is commonly used in finance to predict future values. 
TREND
The
TREND
formula is used to calculate future values based on historical data. It fits a straight line (using the method of least squares) to the arrays specified in theknown_data_y
andknown_data_x
parameters and then uses that line to calculate new yvalues for the array specified in thenew_data_x
parameter. Ifb
is set to TRUE, then the calculation will include the yintercept of the line. This formula is commonly used in forecasting and trend analysis.
Learn More
You can learn more about the SLOPE
Google Sheets function on Google Support.