• Regressions
• Data Analysis

Statistical Learning

• Vast set of tools for understanding data
  • building statistical models with goal to estimate and predict
• Supervised Learning
• Unsupervised learning( Cluster analysis) 🧐

Linear Regression

• Relations between observations

  • inference - understand the nature of the relationship
  • Predict - find y for every new x f(.)

  $y=f(x)+E$

Parametric Models

Mean Square Root Error (MSE)

is the line fitting the data

significance of the variables

linear adjustment - R2