SUMXMY2
TheSUMXMY2
formula returns the sum of the squared differences between two arrays of numbers. It is commonly used in statistical analysis to measure the degree of association between two sets of variables.
- How to use
SUMXMY2
formula? - Examples of using
SUMXMY2
formula SUMXMY2
formula not working?- Similar formulas to
SUMXMY2
Usage
Use the SUMXMY2
formula with the syntax shown below, it has 2 required parameters:
- array_x (required):
The first array of numbers to compare. - array_y (required):
The second array of numbers to compare.
Examples
Here are a few example use cases that explain how to use theSUMXMY2
formula in Google Sheets.
Calculate the variance of a set of data
By using SUMXMY2
to calculate the squared differences between each value in a data set and its mean, you can then divide the result by the number of observations to obtain the variance.
Find the sum of squares regression
In regression analysis, you can use SUMXMY2
to find the sum of squares regression, which represents the variation in the dependent variable that is explained by the independent variable.
Calculate the coefficient of determination
The coefficient of determination (R-squared) is a measure of how well the regression line fits the observed data. SUMXMY2
can be used to calculate the sum of squares residual, which is then used to calculate R-squared.
Common Mistakes
SUMXMY2
not working? Here are some common mistakes people make when using the SUMXMY2
Google Sheets Formula:
Not Providing Two Arrays
The SUMXMY2
function requires two arrays to be provided as input. If only one array is provided, or if more than two arrays are provided, the function will return an error.
Arrays with Different Sizes
The two arrays provided to the SUMXMY2
function must be of equal size. If they are not, the function will return an error.
Related Formulas
The following functions are similar to SUMXMY2
or are often used with it in a formula:
-
SUMSQ
The
SUMSQ
formula is a Math formula that returns the sum of the squares of a given set of numbers. It is commonly used to calculate the sum of squares for a set of values, which can be useful in statistical analysis and other mathematical operations. -
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).
Learn More
You can learn more about the SUMXMY2
Google Sheets function on Google Support.