# data[].attributes.body
what are the units
how can you use the units to read the graph (two y axis)

# data[].attributes.body
Have the students whiteboard what they think they know
have the students make the graphs
have the students whiteboard adjustments to what they thought
have the students reflect in their notebooks and form claim evidence statements for the graphs

# data[].attributes.body
-Start with introducing the biome the students live in
-what makes our climate different then a desert?
-how much rain do we get a year?
-what kind of temperatures do we encounter?
-how can we show this information?

# data[].attributes.body
What does the graph show? What can you infer from this graphical representation?

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Give the data and have the students make the graph

# data[].attributes.subject
Give the data and have the students make the graph

# data[].attributes.headline
What is is the relationship between temperature and precipitation?

# data[].attributes.subject
What is is the relationship between temperature and precipitation?

# data[].attributes.headline
Make it relevant to the students/current events etc..

# data[].attributes.subject
Make it relevant to the students/current events etc..

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What do our axis represent? How are they all related to each other? 

# data[].attributes.subject
What do our axis represent? How are they all related to each other? 

# data[].attributes.body
Have students try making their own first and then correct any mistakes.

Have students interpret/analyze relationships between variables.

# data[].attributes.body
Compare Historical climographs for long-term change

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What is the important information in the graph?

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What are the axis?
What do the bars tell you?

# data[].attributes.headline
Would leave the temp, precip and months off and have students discuss what the data might be

# data[].attributes.subject
Would leave the temp, precip and months off and have students discuss what the data might be

# data[].attributes.headline
ask them what they can identify already (parts of the graph, labels, etc)

# data[].attributes.subject
ask them what they can identify already (parts of the graph, labels, etc)

# data[].attributes.body
separate the data sets

ask them to make observations based on the given data

after discussing the type of location, tie to where it might be on earth

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Title of Graph
Axis Labels
Separate the variables
Describe the trend for each variable.
Write a sentence summarizing the graph.