Use your calculator to find the least squares regression line and predict the. For example, if you wanted to generate a line of best fit for the association between height and shoe size, allowing you to predict shoe size on the basis of a person's height, then height would be your independent variable and shoe size your dependent variable). Typically, you have a set of data whose scatter plot appears to fit a. To begin, you need to add paired data into the two text boxes immediately below (either one value per line or as a comma delimited list), with your independent variable in the X Values box and your dependent variable in the Y Values box. This calculator will determine the values of b and a for a set of data comprising two variables, and estimate the value of Y for any specified value of X. Make certain the independent variable is in XLIST and dependent variable is in YLIST. Create a scatter plot, the regression equation, r and r 2 below by entering a point, click Plot Point and then continue until you are done. The line of best fit is described by the equation ลท = bX + a, where b is the slope of the line and a is the intercept (i.e., the value of Y when X = 0). This simple linear regression calculator uses the least squares method to find the line of best fit for a set of paired data, allowing you to estimate the value of a dependent variable ( Y) from a given independent variable ( X).
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