![]() Other important statistics like the standard error, coefficient of determination (R^2), and F statistic provide insights into the regression model’s accuracy and predictability. The slope signifies the change in the dependent variable with a one-unit change in an independent variable. The intercept, or the expected value of the dependent variable when all independent variables are zero, is crucial. The output from LINEST includes an array of values with coefficients representing the slope and intercept of the regression line. =LINEST(known_data_y, known_data_x, calculate_b, verbose) Understanding Regression Output Supercharge your spreadsheets with GPT-powered AI tools for building formulas, charts, pivots, SQL and more. The use of calculate_b and the verbose parameter, set to TRUE, provides additional regression statistics.įree AI-Powered Tools Right Within Your Spreadsheet Specifically, known_data_y includes the dependent variable data, whereas known_data_x contains one or more sets of independent variable data. ![]() Users begin by selecting an empty cell and typing =LINEST( followed by their data ranges. The LINEST function is a powerful Google Sheets tool used for performing linear regression analysis. This function assists in determining the statistical relationship between one dependent variable and one or more independent variables. To find a regression equation in Google Sheets, users must effectively employ the LINEST function. ![]() The scatter plot assists in verifying if the data distribution suggests a linear trend before applying the regression tools.
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