Written by Determines the y-value at which the linear regression line derived from a dataset crosses the y-axis (when x=0).
Written by The RSQ function in Excel calculates the square of the Pearson product-moment correlation coefficient, providing a statistical measure that indicates how well a regression model fits a dataset. It is essential for evaluating the strength of a linear relationship between two variables, making it invaluable in data analysis and predictive modeling.
The SLOPE function in Excel is a statistical tool that calculates the slope of the linear regression line through a set of data points in a two-dimensional space. This function is particularly useful in various fields such as economics, biology, and social sciences for understanding relationships between variables. The SLOPE function returns a numeric value that represents the rate of change of the dependent variable (Y) with respect to the independent variable (X).
The STEYX function in Excel calculates the standard error of the predicted y-values for each x in a regression analysis. This function is particularly useful in statistical analysis to understand the reliability of regression predictions. It requires the known y-values and the known x-values as inputs, providing a simple way to assess the precision of regression forecasts.