Two-Variable Data Table

As with any system, the output is only accurate when the input is also accurate. A prime example is a two-variable data table. Consider estimating peoples’ life expectancy. We may model it using the two-input approach: one of the inputs would be blood pressure and the other input would be age. However, any such correlation would only be a weak indicator (meaningless output).
Consider using a two-variable data table to determine calories required, with the energy used and time spent doing the work as the table inputs. We may conclude that there is a strong correlation between these two inputs. Therefore, we have high confidence in the accuracy of the output value (meaningful output).
Using the Internet resources, explore and discuss what requirements are available to ensure a high confidence in the output and how you can determine if one of the inputs is more significant than the other. Give one example of meaningless correlation and one example of meaningful correlation.

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