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Correlation and regressionIB MYP Maths Extended: Flashcards

What these 13 flashcards ask

  • Positive correlation means what?
  • Negative correlation means what?
  • What range of values can r take?
  • What does r close to -1 mean?
  • What does r close to 0 mean?
  • Does a strong correlation prove that one variable causes the other?
  • How do you find the line of best fit in MYP?
  • In y=mx+c what does the gradient m tell you?
  • What is the intercept c?
  • What is interpolation?
  • What is extrapolation?
  • Does a steep line mean a strong correlation?
  • Name one sign that a prediction is unreliable.

Exam questions on Correlation and regression

  1. A researcher in Toronto collects data from 40 teenagers and finds that the correlation coefficient rr between their daily screen time (hours) and their sleep (hours) is r=−0.82r=-0.82.
    The researcher also finds r=0.1r=0.1 between screen time and test scores. Describe this correlation and say what its scatter graph would look like.2 marks
  2. A student uses technology to investigate four sets of data. Set 1: line of best fit y=2x+3y=2x+3, points close to the line, r=0.96r=0.96. Set 2: line of best fit y=−0.5x+10y=-0.5x+10, points close to the line, r=−0.93r=-0.93. Set 3: line of best fit y=0.3x+1y=0.3x+1, points widely scattered about the line, r=0.28r=0.28. Set 4: line of best fit y=−4x+7y=-4x+7, points widely scattered about the line, r=−0.31r=-0.31.
    A sixth set has line of best fit y=−3x+20y=-3x+20 and the points are widely scattered about the line. Use the pattern to describe its correlation.2 marks
  3. A kiosk in Mumbai records the maximum daily temperature TT (∘^\circC) and the number nn of cold drinks sold on six days. The data are: (24,31)(24,31), (27,38)(27,38), (29,41)(29,41), (31,52)(31,52), (33,57)(33,57), (36,66)(36,66). Use technology.
    Find the equation of the line of best fit for nn against TT, and the value of rr. Describe the correlation.3 marks
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Written by the Exaim team, led by Shaun Daswani (Head of Upper Secondary, Improve ME Institute; MSc Financial Mathematics, Imperial College London; BSc, UCL) and Jason Daswani (operational lead, Improve ME Institute; LSE).