23Be able to create aBar Chart,Segmented BarChart, Histogram,Box-Plot or a Stem& leaf, scatter plot24Plot the leastsquaresregressionline on ascatter plot.Find theleastsquaresregressionline.Be able to discussthe validity ofpredictions inregards tointerpolation andextrapolation255Be able todescribe a scatterplot in terms ofstrength, directionand form.14Be able toroundnumbersappropriatelyBe able tofindpercentagesBe able to testthe assumptionthat the data islinear using aresidual plot.Be able to describea box-plot in termsof it’s shape, centreand spread. Knownot to use therange.19Interpret thecoefficient ofdetermination.Interpret theslope of aregressionline.3Be able to find Zscores andknow when Z-Scores areappropriate touse.9Know to set theaxes scales sothat the data iseffectivelydisplayed (usesmost of theavailable space)1156Be able tocorrectly identifysuitabletransformations inan attempt tolinearise the data.2820Interpret they-intercept ofa regressionline.Be able toname theexplanatoryand responsevariablesBe able tocompare box-plots in terms oftheir shape,centre andspread.11Be able totransform the datausing the variousmethods toproduce a model.171322Be able to find ifthere is anassociation using atwo-way table byfirst converting topercentages thencomparing41218Be able to usetransformedequations topredict values721Know what astructuralchange is andwhat effect ithas on datamodellingKnow when to usethe different datadisplays Bar Chart,Segmented BarChart, Histogram,Box-Plot, Stem &leaf, scatter plotDifference betweenNumericalcontinuous,Numerical discrete,Categorical ordinaland CategorialnominalCreate afrequencytable1016Be able to findthe lower andupper fencesto determine ifoutliers exist23Be able to create aBar Chart,Segmented BarChart, Histogram,Box-Plot or a Stem& leaf, scatter plot24Plot the leastsquaresregressionline on ascatter plot.Find theleastsquaresregressionline.Be able to discussthe validity ofpredictions inregards tointerpolation andextrapolation255Be able todescribe a scatterplot in terms ofstrength, directionand form.14Be able toroundnumbersappropriatelyBe able tofindpercentagesBe able to testthe assumptionthat the data islinear using aresidual plot.Be able to describea box-plot in termsof it’s shape, centreand spread. Knownot to use therange.19Interpret thecoefficient ofdetermination.Interpret theslope of aregressionline.3Be able to find Zscores andknow when Z-Scores areappropriate touse.9Know to set theaxes scales sothat the data iseffectivelydisplayed (usesmost of theavailable space)1156Be able tocorrectly identifysuitabletransformations inan attempt tolinearise the data.2820Interpret they-intercept ofa regressionline.Be able toname theexplanatoryand responsevariablesBe able tocompare box-plots in terms oftheir shape,centre andspread.11Be able totransform the datausing the variousmethods toproduce a model.171322Be able to find ifthere is anassociation using atwo-way table byfirst converting topercentages thencomparing41218Be able to usetransformedequations topredict values721Know what astructuralchange is andwhat effect ithas on datamodellingKnow when to usethe different datadisplays Bar Chart,Segmented BarChart, Histogram,Box-Plot, Stem &leaf, scatter plotDifference betweenNumericalcontinuous,Numerical discrete,Categorical ordinaland CategorialnominalCreate afrequencytable1016Be able to findthe lower andupper fencesto determine ifoutliers exist

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