The equation,Y = a + b X,is the equation for the:

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The equation Y = a + bX represents the equation for the least-squares regression line. This equation is used in regression analysis to estimate the relationship between a dependent variable Y and one or more independent variables X. The coefficients a and b are determined by finding the line that minimizes the sum of the squared residuals (the difference between the observed Y values and the predicted Y values) and represents the best fit line for the data.

The Equation,Y = a + B X,is the Equation for The