👉 The dot IOR, or Dot Intercept of Y, is a statistical measure that represents the ratio of the vertical change in the dependent variable (Y) to the horizontal change in the independent variable (X), specifically when X equals zero. It essentially quantifies how much Y changes when X shifts from zero to a very small positive value, providing insight into the sensitivity of Y to changes in X near zero. This measure is particularly useful in regression analysis, especially in contexts where the independent variable often approaches zero, such as in elasticity calculations or when analyzing the impact of small changes in a variable with a non-linear relationship. The dot IOR helps in understanding the steepness of the regression line at zero points, offering a clearer picture of the variable's behavior in those critical scenarios.
