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

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