Showsrelationpredictor↔ criterionRegressiona (Y-intercept)0.2%chance dueto randomerrorFalse(within-groups ≠treatmenteffect)F =30/25 =1.20Factorial-designANOVAPredictedappetite= 9Ŷ = a +b₁X₁ +b₂X₂Errorssquared sothey don’tcancelShort: noage diff;long:youngerspend moreWithin-groupsdfMeanSquareError =0.28Repeated-measuresANOVA ↔dependentmeansF =0.36Between-groups dfRegressioncoefficient(b)Rejectthe nullMeanSquare= 133.066cellsAge inmonthsTeststatisticMore moneyspent withlongshoppingtimeCriterionvariableNot allmeans equal(unclearwhich differ)True(effect sizeindicatessize)Predictorvariable(X)Y –ŶWithin-groupsvariance =16.03CurvilinearcorrelationMultipleregressionPowerCompare3+ groups(ANOVAadvantage)Predictedsocialskills = 46Dichotomizing:high vs lowgroupsUnits changein criterionper predictorunitY-interceptStatisticallysignificantdifferenceInteractioneffectindicatedPopulationvarianceestimatewithin groups(S²within)F muchlargerthan 1Effect differsacrosslevels(interaction)Younger spendmore whenshort; olderspend morewhen longBetween≈ withinwhen nullis trueF =1.22Showsrelationpredictor↔ criterionRegressiona (Y-intercept)0.2%chance dueto randomerrorFalse(within-groups ≠treatmenteffect)F =30/25 =1.20Factorial-designANOVAPredictedappetite= 9Ŷ = a +b₁X₁ +b₂X₂Errorssquared sothey don’tcancelShort: noage diff;long:youngerspend moreWithin-groupsdfMeanSquareError =0.28Repeated-measuresANOVA ↔dependentmeansF =0.36Between-groups dfRegressioncoefficient(b)Rejectthe nullMeanSquare= 133.066cellsAge inmonthsTeststatisticMore moneyspent withlongshoppingtimeCriterionvariableNot allmeans equal(unclearwhich differ)True(effect sizeindicatessize)Predictorvariable(X)Y –ŶWithin-groupsvariance =16.03CurvilinearcorrelationMultipleregressionPowerCompare3+ groups(ANOVAadvantage)Predictedsocialskills = 46Dichotomizing:high vs lowgroupsUnits changein criterionper predictorunitY-interceptStatisticallysignificantdifferenceInteractioneffectindicatedPopulationvarianceestimatewithin groups(S²within)F muchlargerthan 1Effect differsacrosslevels(interaction)Younger spendmore whenshort; olderspend morewhen longBetween≈ withinwhen nullis trueF =1.22

Untitled 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. Shows relation predictor ↔ criterion
  2. Regression
  3. a (Y-intercept)
  4. 0.2% chance due to random error
  5. False (within-groups ≠ treatment effect)
  6. F = 30/25 = 1.20
  7. Factorial-design ANOVA
  8. Predicted appetite = 9
  9. Ŷ = a + b₁X₁ + b₂X₂
  10. Errors squared so they don’t cancel
  11. Short: no age diff; long: younger spend more
  12. Within-groups df
  13. Mean Square Error = 0.28
  14. Repeated-measures ANOVA ↔ dependent means
  15. F = 0.36
  16. Between-groups df
  17. Regression coefficient (b)
  18. Reject the null
  19. Mean Square = 133.06
  20. 6 cells
  21. Age in months
  22. Test statistic
  23. More money spent with long shopping time
  24. Criterion variable
  25. Not all means equal (unclear which differ)
  26. True (effect size indicates size)
  27. Predictor variable (X)
  28. Y – Ŷ
  29. Within-groups variance = 16.03
  30. Curvilinear correlation
  31. Multiple regression
  32. Power
  33. Compare 3+ groups (ANOVA advantage)
  34. Predicted social skills = 46
  35. Dichotomizing: high vs low groups
  36. Units change in criterion per predictor unit
  37. Y-intercept
  38. Statistically significant difference
  39. Interaction effect indicated
  40. Population variance estimate within groups (S²within)
  41. F much larger than 1
  42. Effect differs across levels (interaction)
  43. Younger spend more when short; older spend more when long
  44. Between ≈ within when null is true
  45. F = 1.22