19620Interpret thecoefficient ofdetermination.152Difference betweenNumericalcontinuous,Numerical discrete,Categorical ordinaland CategorialnominalCreate afrequencytable8Be able tocorrectly identifysuitabletransformations inan attempt tolinearise the data.14Be able totransform the datausing the variousmethods toproduce a model.716Plot the leastsquaresregressionline on ascatter plot.Know when to usethe different datadisplays Bar Chart,Segmented BarChart, Histogram,Box-Plot, Stem &leaf, scatter plot3Find theleastsquaresregressionline.121Be able tocompare box-plots in terms oftheir shape,centre andspread.Be able toroundnumbersappropriatelyBe able to find ifthere is anassociation using atwo-way table byfirst converting topercentages thencomparingBe able todescribe a scatterplot in terms ofstrength, directionand form.Interpret they-intercept ofa regressionline.5Be able to create aBar Chart,Segmented BarChart, Histogram,Box-Plot or a Stem& leaf, scatter plot131122Be able to usetransformedequations topredict values24Know what astructuralchange is andwhat effect ithas on datamodelling219Be able to find Zscores andknow when Z-Scores areappropriate touse.17Be able to discussthe validity ofpredictions inregards tointerpolation andextrapolation10Be able to testthe assumptionthat the data islinear using aresidual plot.Interpret theslope of aregressionline.Be able to describea box-plot in termsof it’s shape, centreand spread. Knownot to use therange.4Know to set theaxes scales sothat the data iseffectivelydisplayed (usesmost of theavailable space)18Be able toname theexplanatoryand responsevariablesBe able to findthe lower andupper fencesto determine ifoutliers exist23Be able tofindpercentages2519620Interpret thecoefficient ofdetermination.152Difference betweenNumericalcontinuous,Numerical discrete,Categorical ordinaland CategorialnominalCreate afrequencytable8Be able tocorrectly identifysuitabletransformations inan attempt tolinearise the data.14Be able totransform the datausing the variousmethods toproduce a model.716Plot the leastsquaresregressionline on ascatter plot.Know when to usethe different datadisplays Bar Chart,Segmented BarChart, Histogram,Box-Plot, Stem &leaf, scatter plot3Find theleastsquaresregressionline.121Be able tocompare box-plots in terms oftheir shape,centre andspread.Be able toroundnumbersappropriatelyBe able to find ifthere is anassociation using atwo-way table byfirst converting topercentages thencomparingBe able todescribe a scatterplot in terms ofstrength, directionand form.Interpret they-intercept ofa regressionline.5Be able to create aBar Chart,Segmented BarChart, Histogram,Box-Plot or a Stem& leaf, scatter plot131122Be able to usetransformedequations topredict values24Know what astructuralchange is andwhat effect ithas on datamodelling219Be able to find Zscores andknow when Z-Scores areappropriate touse.17Be able to discussthe validity ofpredictions inregards tointerpolation andextrapolation10Be able to testthe assumptionthat the data islinear using aresidual plot.Interpret theslope of aregressionline.Be able to describea box-plot in termsof it’s shape, centreand spread. Knownot to use therange.4Know to set theaxes scales sothat the data iseffectivelydisplayed (usesmost of theavailable space)18Be able toname theexplanatoryand responsevariablesBe able to findthe lower andupper fencesto determine ifoutliers exist23Be able tofindpercentages25

Summary Book Bingo - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. 19
  2. 6
  3. 20
  4. Interpret the coefficient of determination.
  5. 15
  6. 2
  7. Difference between Numerical continuous, Numerical discrete, Categorical ordinal and Categorial nominal
  8. Create a frequency table
  9. 8
  10. Be able to correctly identify suitable transformations in an attempt to linearise the data.
  11. 14
  12. Be able to transform the data using the various methods to produce a model.
  13. 7
  14. 16
  15. Plot the least squares regression line on a scatter plot.
  16. Know when to use the different data displays Bar Chart, Segmented Bar Chart, Histogram, Box-Plot, Stem & leaf, scatter plot
  17. 3
  18. Find the least squares regression line.
  19. 12
  20. 1
  21. Be able to compare box-plots in terms of their shape, centre and spread.
  22. Be able to round numbers appropriately
  23. Be able to find if there is an association using a two-way table by first converting to percentages then comparing
  24. Be able to describe a scatter plot in terms of strength, direction and form.
  25. Interpret the y-intercept of a regression line.
  26. 5
  27. Be able to create a Bar Chart, Segmented Bar Chart, Histogram, Box-Plot or a Stem & leaf, scatter plot
  28. 13
  29. 11
  30. 22
  31. Be able to use transformed equations to predict values
  32. 24
  33. Know what a structural change is and what effect it has on data modelling
  34. 21
  35. 9
  36. Be able to find Z scores and know when Z-Scores are appropriate to use.
  37. 17
  38. Be able to discuss the validity of predictions in regards to interpolation and extrapolation
  39. 10
  40. Be able to test the assumption that the data is linear using a residual plot.
  41. Interpret the slope of a regression line.
  42. Be able to describe a box-plot in terms of it’s shape, centre and spread. Know not to use the range.
  43. 4
  44. Know to set the axes scales so that the data is effectively displayed (uses most of the available space)
  45. 18
  46. Be able to name the explanatory and response variables
  47. Be able to find the lower and upper fences to determine if outliers exist
  48. 23
  49. Be able to find percentages
  50. 25