complex linear regression equation example

To learn more about performing data analysis in Google Sheets, check out our related article on How To Perform What-If Analysis in Google Sheets. You also know how to identify the statistics represented by the function’s output, so you can quickly interpret the results. You now know how to find simple and multiple linear regression in Google Sheets using the LINEST function. These include standard errors for slope, intercept, and y-estimate, as well as the coefficient of determination, F statistic, degrees of freedom, and the regression and residual sums of squares. The difference is that LINEST can also provide a lot of additional regression statistics, which will allow you to perform a full analysis. However, you could also find those using the SLOPE and INTERCEPT functions. Whether you have one or multiple independent variables, you can quickly find the slope and the intercept. In the following sections, you will learn how to use the function for both simple and multiple linear regression.Īs you have seen, linear regression analysis is easy using the LINEST function in Google Sheets. This makes it a very flexible and useful function. However, you can also use it when you have multiple independent variables that need to be considered. This means you can use it to calculate the trend in values for your dependent variable even if you don’t have an independent variable. verbose (Optional): Indicates whether you would like to see additional regression statistics or just the slope and intercept.The default value is “TRUE”, which is what we want for linear regression. calculate_b (Optional): Indicates whether the y-intercept (b) should be calculated.known_data_ x (Optional): The known values for the explanatory or independent variable (x).known_data_y* (Required): The known values for the response or dependent variable (y).

The LINEST function has four parameters, and only the first is required.

Complex linear regression equation example