Te reo Māori terms
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Master Teaching Guide coverage for this objective.
S5-1
NZC26-P4-STA-VIS-K-Y9-03NZC26-P4-STA-VIS-P-Y10-01NZC26-P4-STA-INT-P-Y10-03
Resources
- Other: (Bivariate) TARSOG - Specific WBHS worksheets TBC
- Beta: Skills in Ex 31.01, pg 579
- CorbettMaths - Scatter GraphsQuestions PDF · Answers
Terminology
- scatter plot
- trend
- association
- relationship
- scatter
- outlier
- grouping
Task goals
- Recall what T, A, R, S, O, and G each stand for in the TARSOG framework for scatter plots.
- Identify the trend in a scatter plot as linear or non-linear.
- Identify the association as positive or negative (correlation direction is correctly described as positive/negative for scatter plots, unlike time series trend).
- Judge the relationship strength as weak, moderate, or strong from how closely points cluster around the trend.
- Identify the scatter as constant or non-constant (whether the spread of points stays even or changes across the plot).
- Identify outliers and groupings, and explain how each affects the reading of the overall trend and association.
- Analyse an unfamiliar scatter plot using all six TARSOG components together, justifying each classification.
Where this fits
What leads into this objective, and where it goes next.
Before

Interpreting data from Scatter plot - TARSOG

Selecting appropriate displays

Dot Plots and Stem-and-Leaf Plots
You are here

Analysing scatter plots (i.e. bivariate) - TARSOG
In relationship investigations: sometimes one variable is thought of as predictive of the other variable; then the response or dependent variable is on the y-axis, and the 'predictive', explanatory, or independent variable is on the x-axis; an eyeballed line or curve of best fit can be added for paired numerical data.
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Also under S5-1:
For teachers
Need the fuller teaching notes for this objective? Open the Teacher guidance PDF.




