Perplex
Your focus
  • Bivariate Statistics
  • All Content
Resources
  • Home
  • Lessons
  • Problems
  • Speed Run
  • Skill Checklist
  • Review Videos
  • Landing Page
  • Sign Up
  • Login
  • Perplex
    IB Math AASL
    /
    Bivariate Statistics
    /

    Home

    Bivariate Statistics

    Skill Checklist

    See everything you need to know in this unit and with an interactive checklist to check your progress.

    Go to Checklist • 7 Skills

    Speed Run

    Improve speed and accuracy with a timed multiple-choice quiz.

    Lessons

    Feeling shaky on the material? Check out a lesson:

    Problems

    Speed Run

    Improve speed and accuracy with a timed multiple-choice quiz.

    Sign in to start

    Lessons

    Feeling shaky on the material? Check out a lesson:

    Thumbnail for Linear Regression

    Regressions of y on x, regressions of x on y, the correlation coefficient r, the rank correlation coefficient rs​, extrapolation and interpolation of data.

    Linear Regression (Plus Only)

    Select a Difficulty

    3 / 13 problems visible - Upgrade to view all problems

    IB: 4
    1

    !!

    0 / 7

    A teacher surveys his class to find out how long each student spent studying for a recent test. The time, in hours, each student spent studying is shown alongside their score in the following table.

    Study time (h)

    0

    1

    2

    4

    5

    8

    Score (s)

    45

    52

    62

    65

    74

    88

    1. Find and interpret Pearson's product-moment correlation coefficient, r, for this data.

      [2]
    2. Find the equation of the regression line of s on t.

      [2]
    3. Use the regression line found in (b) to predict the score of a student who spent 7 hours studying.

      [2]
    4. Explain why the regression equation should not be used to predict the score of a student who studied 25 hours for the test.

      [1]
    2

    !!

    0 / 8

    The resting body temperature, in degrees °C, of 6 adults is measured and recorded alongside their age, in years, in the table below.

    Age (Y)

    41

    46

    49

    51

    55

    61

    Temperature (C)

    37.7

    37.2

    37.1

    39.2

    36.8

    36.6

    1. State the age of the outlier in this data set.

      [1]
    2. Suggest one reason the outlier identified in (a) should not be included in any further analysis.

      [1]

    The relationship between Y and C can be modelled by the equation C =aY+b.

    1. Find the value of a and the value of b.

      [2]
    2. Find and interpret the value of Pearson's product-moment correlation coefficient, r, for these data.

      [2]
    3. Use the model C =aY+b to estimate the body temperature of a newborn, and explain why this is unlikely to be reliable.

      [2]
    3

    !

    0 / 9

    The following table shows the data collected in a study.

    x

    1

    2

    4

    5

    6

    8

    y

    18

    29

    54

    32

    69

    93

    1. Write down the values of xˉ and yˉ​.

      [2]
    2. Using the grid below, draw a scatter diagram for the data.

      [2]
    3. Hence state any outlier(s) in the data.

      [1]
    4. Plot a line of best fit on your scatter plot, and hence estimate the regression equation of y on x.

      [2]

    Powered by Desmos

    1. Using your regression equation, predict the value of y when x=3.

      [2]

    Ask Plex AI about problem 1

    Get hints, ask questions, and work through this problem step by step