Loading the player...

What is the 'Line Of Best Fit'

Line of best fit refers to a line through a scatter plot of data points that best expresses the relationship between those points. Statisticians typically use the least squares method to arrive at the geometric equation for the line, either though manual calculations or regression analysis software. A straight line will result from a simple linear regression analysis of two or more independent variables. A regression involving multiple related variables can produce a curved line in some cases.

BREAKING DOWN 'Line Of Best Fit'

Line of best fit is one of the most important outputs of regression analysis. Regression refers to a quantitative measure of the relationship between one or more independent variables and a resulting dependent variable. Regression is of use to professionals in a wide range of fields from science and public service to financial analysis.

To perform a regression analysis, a statistician collects a set of data points, each including a complete set of dependent and independent variables. For example, the dependent variable could be a firm’s stock price and the independent variables could be the Standard and Poor’s 500 index and the national unemployment rate, assuming that the stock is not listed in the S&P 500. The sample set could be each of these three data sets for the past 20 years. On a chart, these data points would appear as scatter plot, a set of points that may or may not appear to be organized along any line. If a linear pattern is apparent, it may be possible to sketch a line of best fit that minimizes the distance of those points from that line. If no organizing axis is visually apparent, regression analysis can generate a line based on the least squares method. This method builds the line which minimizes the squared distance of each point from the line of best fit.

To determine the formula for this line, the statistician enters these three results for the past 20 years into a regression software application. The software produces a linear formula that expresses the causal relationship between the S&P 500, the unemployment rate, and the stock price of the company in question. This equation is the formula for the line of best fit. It is a predictive tool, providing analysts and traders with a mechanism to project the firm’s future stock price based on those two independent variables.

The Line of Best Fit Equation and Its Components

A regression with two independent variables such as the example discussed above will produce a formula with this basic structure:

y= c + b1(x1) + b2(x2)

In this equation, y is the dependent variable, c is a constant, b1 is the first regression coefficient and x1 is the first independent variable. The second coefficient and second independent variable are b2 and x2. Drawing from the above example, the stock price would be y, the S&P 500 would be x1 and the unemployment rate would be x2. The coefficient of each independent variable represents the degree of change in y for each additional unit in that variable. If the S&P 500 increases by one, the resulting y or share price will go up by the amount of the coefficient. The same is true for the second independent variable, the unemployment rate. In a simple regression with one independent variable, that coefficient is the slope of the line of best fit. In this example or any regression with two independent variables the slope is a mix of the two coefficients. The constant c is the y-intercept of the line of best fit.

  1. Multiple Linear Regression - MLR

    Multiple linear regression (MLR) is a statistical technique that ...
  2. Least Squares Method

    The least squares method is a statistical technique to determine ...
  3. Nonlinear Regression

    Nonlinear regression is a form of regression analysis in which ...
  4. Coefficient of Determination

    The coefficient of determination is a measure used in statistical ...
  5. Stepwise Regression

    Stepwise regression is the step-by-step iterative construction ...
  6. Variance Inflation Factor

    Variance inflation factor is a measure of the amount of multicollinearity ...
Related Articles
  1. Trading

    The Linear Regression of Time and Price

    This investment strategy can help investors be successful by identifying price trends while eliminating human bias.
  2. Financial Advisor

    Life Insurance: Variable Vs. Variable Universal

    Do you know why you might need one policy versus the other? Read on to find out the difference between Variable and Variable Universal life insurance.
  3. Investing

    The Restoration of Restoration Hardware Continues

    Restoration Hardware reported strong quarterly results that beat expectations, advancing its turnaround story.
  4. Retirement

    How a Variable Annuity Works After Retirement

    These investments can provide extra income after you retire. Here’s a guide to when and how you will receive the payout.
  5. Trading

    Exchange rate risk: Economic exposure

    Changes in exchange rates have a substantial influence on companies’ operations and profitability. Here are ways they can deal with the risk.
  6. Retirement

    Update Your Variable Annuity With Section 1035

    Thanks to a special tax code clause, you can surrender a variable annuity without paying income tax.
  7. Investing

    The P/E Ratio: A Good Market-Timing Indicator

    Check out the returns this newer technical analysis tool would've yielded over the period from 1920 to 2003.
  8. Financial Advisor

    10 Companies With No Debt (DOX,NHTC,PAYX)

    These 10 companies have no debt, which is a positive in today's economic environment. Three stand out above the rest.
  9. Investing

    Business forecasting: Understanding the basics

    Discover the methods behind financial forecasts and the risks inherent when we seek to predict the future.
  10. Retirement

    Variable Annuities: A Good Retirement Investment?

    Variable annuities provide lifetime payments and tax-deferred growth, but – given their hefty fees – are they right for you?
  1. What is the difference between linear regression and multiple regression?

    Learn the difference between linear regression and multiple regression and how multiple regression encompasses not only linear ... Read Answer >>
  2. How can I create a linear regression in Excel?

    Learn the steps involved in creating a linear regression chart in Microsoft Excel. A linear regression is a data plot that ... Read Answer >>
  3. In what types of economies are regressive taxes common?

    Understand the three main taxation systems, regressive, proportionate and progressive, and learn where regressive tax systems ... Read Answer >>
  4. How do fixed costs and variable costs affect gross profit?

    Learn about the differences between fixed and variable costs and find out how they affect the calculation of gross profit ... Read Answer >>
Trading Center