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Logistic regression

1. Logistic regression select all that apply

(Tick the scenarios marked TRUE in the NESA answer. Original stem not published; the task is reconstructed from the marking guideline: which scenarios suit logistic regression?)

  1. Identifying whether a received email is spam
  2. Determining the outcome of a two-party election
  3. Calculating house prices based on land size
  4. Investigating the relationship between height and weight
  5. Estimating the rate at which a contagious illness will spread
  6. Working out if someone will be admitted to a university course
Answer

A, B, F

Logistic regression handles yes/no classification. House prices, height v weight and rate of spread are continuous numeric predictions (linear/polynomial regression). Stem wording not published by NESA.