SLOPEformula 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
- Examples of using
SLOPEformula not working?
- Similar formulas to
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 the
- 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 the
ExamplesHere are a few example use cases that explain how to use the
SLOPEformula 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.
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.
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.
SLOPEnot working? Here are some common mistakes people make when using the
SLOPEGoogle Sheets Formula:
Mismatched array sizes
data_x arrays must be the same size. If they are different sizes, the formula will return an error.
data_x arrays must contain only numeric data. If they contain non-numeric data, the formula will return an error.
The following functions are similar to
SLOPE or are often used with it in a formula:
INTERCEPTfunction calculates the point where the line of best fit for a set of data intercepts the y-axis. 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.
CORRELformula 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).
FORECASTfunction 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.
TRENDformula 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 the
known_data_xparameters and then uses that line to calculate new y-values for the array specified in the
bis set to TRUE, then the calculation will include the y-intercept of the line. This formula is commonly used in forecasting and trend analysis.
You can learn more about the
SLOPE Google Sheets function on Google Support.