How do I calculate R-Squared in Google Sheets? 2

How do I calculate R-Squared in Google Sheets?

R-Squared, also known as the coefficient of determination, is a statistical measure used to determine how well a regression line fits a set of data points. In Google Sheets, the R-Squared value can be calculated by first creating a scatter plot of the data and then using the “TREND” function to generate the regression line equation. The R-Squared value is then obtained by squaring the correlation coefficient (r) from the regression line equation. This will provide a value between 0 and 1, with a higher value indicating a better fit of the regression line to the data points. This measure can be useful in analyzing the strength of a relationship between two variables in a data set.

Calculate R-Squared in Google Sheets


R-squared, often written as r2, is a measure of how well a fits a dataset.

In technical terms, it is the proportion of the variance in the response variable that can be explained by the predictor variable.

The value for r2 can range from 0 to 1:

  • A value of 0 indicates that the response variable cannot be explained by the predictor variable at all.
  • A value of 1 indicates that the response variable can be perfectly explained without error by the predictor variable.

The following example shows how to calculate R-squared for two variables in Google Sheets.

Example: Calculating R-Squared in Google Sheets

Suppose we have the following data for the number of hours studied and the exam score received for 20 students:

Now suppose we want to fit a , using “hours” as the predictor variable and “score” as the response variable.

To find the R-squared for this model, we can use the RSQ() function in Google Sheets, which uses the following syntax:

=RSQ(known_ys, known_xs)

where:

  • known_ys: the values for the response variable
  • known_xs: the values for the predictor variable

In our example, we can type the following formula into cell D2:

=RSQ(A2:A21, B2:B21)

The following screenshot shows how to use this formula in practice:

R-squared in Google Sheets

This means that 72.73% of the variation in the exam scores can be explained by the number of hours studied.

Related: 

The following tutorials explain how to perform other common tasks in Google Sheets:

Cite this article

stats writer (2024). How do I calculate R-Squared in Google Sheets?. PSYCHOLOGICAL SCALES. Retrieved from https://scales.arabpsychology.com/stats/how-do-i-calculate-r-squared-in-google-sheets/

stats writer. "How do I calculate R-Squared in Google Sheets?." PSYCHOLOGICAL SCALES, 27 Jun. 2024, https://scales.arabpsychology.com/stats/how-do-i-calculate-r-squared-in-google-sheets/.

stats writer. "How do I calculate R-Squared in Google Sheets?." PSYCHOLOGICAL SCALES, 2024. https://scales.arabpsychology.com/stats/how-do-i-calculate-r-squared-in-google-sheets/.

stats writer (2024) 'How do I calculate R-Squared in Google Sheets?', PSYCHOLOGICAL SCALES. Available at: https://scales.arabpsychology.com/stats/how-do-i-calculate-r-squared-in-google-sheets/.

[1] stats writer, "How do I calculate R-Squared in Google Sheets?," PSYCHOLOGICAL SCALES, vol. X, no. Y, ص Z-Z, June, 2024.

stats writer. How do I calculate R-Squared in Google Sheets?. PSYCHOLOGICAL SCALES. 2024;vol(issue):pages.

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