Regression Equations. The regression equation of y on x is used to predict the value of y with the value of x whereas the regression. Hence there are two regression equations.
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The regression equation a regression equation is a statistical model that determined the specific relationship between the predictor variable and the outcome variable. A model regression equation allows you to predict the outcome with a relatively small amount of error. A regression equation is used in stats to find out what relationship if any exists between sets of data.
That trend growing three inches a year can be modeled with a regression equation.
Each point of data is of the the form x y and each point of the line of best fit using least squares linear regression has the form x ˆy. The slope of the line b describes how changes in the variables are related. Hence there are two regression equations. The regression equation least squares criteria for best fit.
