Be able tocorrectly identifysuitabletransformations inan attempt tolinearise the data.Be able to testthe assumptionthat the data islinear using aresidual plot.Know what astructuralchange is andwhat effect ithas on datamodellingBe able to findthe lower andupper fencesto determine ifoutliers existBe able toroundnumbersappropriatelyPlot the leastsquaresregressionline on ascatter plot.Know when to usethe different datadisplays Bar Chart,Segmented BarChart, Histogram,Box-Plot, Stem &leaf, scatter plotFind theleastsquaresregressionline.Know to set theaxes scales sothat the data iseffectivelydisplayed (usesmost of theavailable space)Be able to find ifthere is anassociation using atwo-way table byfirst converting topercentages thencomparingBe able to find Zscores andknow when Z-Scores areappropriate touse.Be able to describea box-plot in termsof it’s shape, centreand spread. Knownot to use therange.Be able totransform the datausing the variousmethods toproduce a model.Interpret thecoefficient ofdetermination.Be able toname theexplanatoryand responsevariablesBe able tofindpercentagesInterpret theslope of aregressionline.Be able todescribe a scatterplot in terms ofstrength, directionand form.Be able to create aBar Chart,Segmented BarChart, Histogram,Box-Plot or a Stem& leaf, scatter plotCreate afrequencytableBe able tocompare box-plots in terms oftheir shape,centre andspread.Know the differencebetween Numericalcontinuous,Numerical discrete,Categorical ordinaland CategorialnominalBe able to usetransformedequations topredict valuesBe able to discussthe validity ofpredictions inregards tointerpolation andextrapolationInterpret they-intercept ofa regressionline.Be able tocorrectly identifysuitabletransformations inan attempt tolinearise the data.Be able to testthe assumptionthat the data islinear using aresidual plot.Know what astructuralchange is andwhat effect ithas on datamodellingBe able to findthe lower andupper fencesto determine ifoutliers existBe able toroundnumbersappropriatelyPlot the leastsquaresregressionline on ascatter plot.Know when to usethe different datadisplays Bar Chart,Segmented BarChart, Histogram,Box-Plot, Stem &leaf, scatter plotFind theleastsquaresregressionline.Know to set theaxes scales sothat the data iseffectivelydisplayed (usesmost of theavailable space)Be able to find ifthere is anassociation using atwo-way table byfirst converting topercentages thencomparingBe able to find Zscores andknow when Z-Scores areappropriate touse.Be able to describea box-plot in termsof it’s shape, centreand spread. Knownot to use therange.Be able totransform the datausing the variousmethods toproduce a model.Interpret thecoefficient ofdetermination.Be able toname theexplanatoryand responsevariablesBe able tofindpercentagesInterpret theslope of aregressionline.Be able todescribe a scatterplot in terms ofstrength, directionand form.Be able to create aBar Chart,Segmented BarChart, Histogram,Box-Plot or a Stem& leaf, scatter plotCreate afrequencytableBe able tocompare box-plots in terms oftheir shape,centre andspread.Know the differencebetween Numericalcontinuous,Numerical discrete,Categorical ordinaland CategorialnominalBe able to usetransformedequations topredict valuesBe able to discussthe validity ofpredictions inregards tointerpolation andextrapolationInterpret they-intercept ofa regressionline.

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