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

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