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Bivariate data involving time, or time-series data is two-variable data where the independent variable is time. We can use line graphs to see the trend of the data over time.
Time series graphs are pretty easy to interpret, have a go at this activity below.
Creating Time-Series Graphs
Creating Time-Series Graphs
A time-series graph is very easy to make, simply plot the points and connect up using straight line.
We can use technology such as google sheets or excel to produce time series graph with ease.
Interdisciplinary component
Interdisciplinary component
Progressive overload is one element of fitness principals that incorporates time series graphs. Below are two graphs which demonstrate progressive overload in a graphical form.
Complete the activities below to link time series graphs to components of fitness and consider how they can inform your training plan.
Activity 1
Activity 1
See
See
Looking at the graphs above what explicitly do you see, what key things do you notice?
Think
Think
What do you think the graphs are showing you? What do you think is going on?
Wonder
Wonder
What does it make you wonder? Do you have any questions from this?
Activity 2
Activity 2
Draw two time series graph of your own with appropriate labelling and titles, one with evidence of effective progressive overload and one with a poor example of progressive overload with consequences such as injury or progress platoing.
Draw two time series graph of your own with appropriate labelling and titles, one with evidence of effective progressive overload and one with a poor example of progressive overload with consequences such as injury or progress platoing.
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