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

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