Be able toname theexplanatoryand responsevariables117121518Plot the leastsquaresregressionline on ascatter plot.Be able tofindpercentagesBe able tocompare box-plots in terms oftheir shape,centre andspread.Difference betweenNumericalcontinuous,Numerical discrete,Categorical ordinaland CategorialnominalCreate afrequencytable21Be able to find ifthere is anassociation using atwo-way table byfirst converting topercentages thencomparing16Be able todescribe a scatterplot in terms ofstrength, directionand form.164Find theleastsquaresregressionline.2217Be able to testthe assumptionthat the data islinear using aresidual plot.2024Know what astructuralchange is andwhat effect ithas on datamodelling23195Interpret theslope of aregressionline.Be able to create aBar Chart,Segmented BarChart, Histogram,Box-Plot or a Stem& leaf, scatter plot141013Be able toroundnumbersappropriatelyBe able to discussthe validity ofpredictions inregards tointerpolation andextrapolation3Be able to find Zscores andknow when Z-Scores areappropriate touse.Know when to usethe different datadisplays Bar Chart,Segmented BarChart, Histogram,Box-Plot, Stem &leaf, scatter plotKnow to set theaxes scales sothat the data iseffectivelydisplayed (usesmost of theavailable space)8Be able tocorrectly identifysuitabletransformations inan attempt tolinearise the data.Interpret thecoefficient ofdetermination.Be able to usetransformedequations topredict values2Be able totransform the datausing the variousmethods toproduce a model.9Interpret they-intercept ofa regressionline.25Be able to describea box-plot in termsof it’s shape, centreand spread. Knownot to use therange.Be able to findthe lower andupper fencesto determine ifoutliers existBe able toname theexplanatoryand responsevariables117121518Plot the leastsquaresregressionline on ascatter plot.Be able tofindpercentagesBe able tocompare box-plots in terms oftheir shape,centre andspread.Difference betweenNumericalcontinuous,Numerical discrete,Categorical ordinaland CategorialnominalCreate afrequencytable21Be able to find ifthere is anassociation using atwo-way table byfirst converting topercentages thencomparing16Be able todescribe a scatterplot in terms ofstrength, directionand form.164Find theleastsquaresregressionline.2217Be able to testthe assumptionthat the data islinear using aresidual plot.2024Know what astructuralchange is andwhat effect ithas on datamodelling23195Interpret theslope of aregressionline.Be able to create aBar Chart,Segmented BarChart, Histogram,Box-Plot or a Stem& leaf, scatter plot141013Be able toroundnumbersappropriatelyBe able to discussthe validity ofpredictions inregards tointerpolation andextrapolation3Be able to find Zscores andknow when Z-Scores areappropriate touse.Know when to usethe different datadisplays Bar Chart,Segmented BarChart, Histogram,Box-Plot, Stem &leaf, scatter plotKnow to set theaxes scales sothat the data iseffectivelydisplayed (usesmost of theavailable space)8Be able tocorrectly identifysuitabletransformations inan attempt tolinearise the data.Interpret thecoefficient ofdetermination.Be able to usetransformedequations topredict values2Be able totransform the datausing the variousmethods toproduce a model.9Interpret they-intercept ofa regressionline.25Be able to describea box-plot in termsof it’s shape, centreand spread. Knownot to use therange.Be 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. Be able to name the explanatory and response variables
  2. 11
  3. 7
  4. 12
  5. 15
  6. 18
  7. Plot the least squares regression line on a scatter plot.
  8. Be able to find percentages
  9. Be able to compare box-plots in terms of their shape, centre and spread.
  10. Difference between Numerical continuous, Numerical discrete, Categorical ordinal and Categorial nominal
  11. Create a frequency table
  12. 21
  13. Be able to find if there is an association using a two-way table by first converting to percentages then comparing
  14. 1
  15. 6
  16. Be able to describe a scatter plot in terms of strength, direction and form.
  17. 16
  18. 4
  19. Find the least squares regression line.
  20. 22
  21. 17
  22. Be able to test the assumption that the data is linear using a residual plot.
  23. 20
  24. 24
  25. Know what a structural change is and what effect it has on data modelling
  26. 23
  27. 19
  28. 5
  29. Interpret the slope of a regression line.
  30. Be able to create a Bar Chart, Segmented Bar Chart, Histogram, Box-Plot or a Stem & leaf, scatter plot
  31. 14
  32. 10
  33. 13
  34. Be able to round numbers appropriately
  35. Be able to discuss the validity of predictions in regards to interpolation and extrapolation
  36. 3
  37. Be able to find Z scores and know when Z-Scores are appropriate to use.
  38. Know when to use the different data displays Bar Chart, Segmented Bar Chart, Histogram, Box-Plot, Stem & leaf, scatter plot
  39. Know to set the axes scales so that the data is effectively displayed (uses most of the available space)
  40. 8
  41. Be able to correctly identify suitable transformations in an attempt to linearise the data.
  42. Interpret the coefficient of determination.
  43. Be able to use transformed equations to predict values
  44. 2
  45. Be able to transform the data using the various methods to produce a model.
  46. 9
  47. Interpret the y-intercept of a regression line.
  48. 25
  49. Be able to describe a box-plot in terms of it’s shape, centre and spread. Know not to use the range.
  50. Be able to find the lower and upper fences to determine if outliers exist