The linear regression formulas basically are used to find the estimator of the least and smallest square on the model of liner regression using only one variable of explanatory. It can also be said that the liner regression is used to make the squared residual sums on the model is much smaller on the straight line of the set points.
What to Learn about Linear Regression Formulas
The liner regression formulas are the simple things that we learn in statistic where the line slope is made to be matched with the X and Y which then corrected by the variable’s standard deviation ratios. The intercept of the line should passes through the X and Y or the mass centers of such data points.
Steps to Make the Linear Regression Formulas
There are simple steps should be followed when calculating the linear regression formulas. At first you can make a simple chart containing your data. You can fill out the columns the same way you also fill out the chart then you should also make the equation to find the a and b points.
The next thing you should also insert the equation values as well but you should keep in mind if you make a low correlation coefficient it won’t be able to represent anything. Always double check the calculation for more accurate results.