5.3. Ejemplo de Regresión Lineal Simple

5.3. Ejemplo de Regresión Lineal Simple

Linear Regression Example

Introduction to Simple Linear Regression

  • The discussion begins with an example of simple linear regression, focusing on fitting a set of data points to a straight line.
  • The provided data points for X are: 1, 2, 2, 3, 4, 4, 5 and for Y: 6, 2, 3, 4, 4, 4, 6.

Calculating Products and Sums

  • A new column is created that represents the product of X and Y values; calculated products include: 2 (16), 8 (24), etc.
  • The squares of X values are also computed resulting in: 1^2 =1, 2^2 =4, 3^2 =9, etc.
  • Summations yield totals for each column: Sum of X is 27, Sum of Y is 35, Sum of XY is 135, and Sum of X² is 111.

Applying the Formulas

  • Substituting into the formulas where n = number of data points (8):
  • [ m = fracn(textSum(XY)) - (textSum(X)(textSum(Y)))n(textSum(X^2)) - (textSum(X))^2 ]
  • Results in m approx 0.849 .
  • For calculating b (y-intercept):
  • Formula used: b = barY - m cdot barX
  • Resulting value for b is approximately 1.509.

Graphing the Results

  • Points are plotted on a graph based on calculated coordinates from earlier steps.
  • The equation derived from the regression line approximates to:
  • y = mx + b
  • With specific values leading to predictions at given x-values.

Conclusion and Next Steps

Video description