Section outline

◄General
►Significance and validity check of the linear regression model

  • •Experimental errors – random and systematic;
    •Normal distribution of experimental results – the backbone of classical statistics;
    •Statistical tests for normal distribution: F – test, Student’s t – test etc – use and significance;
    •Analytical metrology based on classical statistics – uncertainty, sensitivity, limit of detection, selectivity, reliability of the analytical signal, calibration

◄General
►Significance and validity check of the linear regression model