Analyzing Data Relationships and Graphing

Cars with more horsepower are cheaper.

Cars with less horsepower are faster.

Cars with more horsepower are more expensive.

Cars with less horsepower are more expensive.

600 to 700

300 to 400

500 to 600

400 to 500

$10,000 to $20,000

$20,000 to $30,000

$40,000 to $50,000

$30,000 to $40,000

All cars with more horsepower are more expensive.

Some cars with less horsepower are more expensive.

There is a clear trend in the data.

Horsepower does not affect the cost at all.

To confirm the initial observation.

To make the data look more appealing.

To prove the claim without any doubt.

To find a trend line.

A smartphone app.

A traditional graph paper.

A stylus on an iPad.

A computer software.

Cars with more horsepower are always more expensive.

There is no clear correlation between horsepower and cost.

The graph was inconclusive.

There is a strong correlation between horsepower and cost.

The screen is too small.

The stylus is hard to use.

The data is too complex.

The graphing app is not user-friendly.

The claim is fully supported by the graph.

The graph does not support the claim.

The graph contradicts the claim.

The claim is partially supported.

There is no clear relationship.

It is an inverse relationship.

It is a direct relationship.

It is a complex relationship.