To determine whether the data set is linear or nonlinear, we need to examine the changes in the "Total Houses Built" with respect to changes in the "Months Passed."
Let's break down the data:
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From month 0 to month 3:
- Houses built = 33 - 0 = 33
- Months passed = 3 - 0 = 3
- Rate of change = 33 houses / 3 months = 11 houses per month
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From month 3 to month 4:
- Houses built = 46 - 33 = 13
- Months passed = 4 - 3 = 1
- Rate of change = 13 houses / 1 month = 13 houses per month
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From month 4 to month 8:
- Houses built = 108 - 46 = 62
- Months passed = 8 - 4 = 4
- Rate of change = 62 houses / 4 months = 15.5 houses per month
Now we can summarize the rates of change:
- From 0 to 3 months: 11 houses per month
- From 3 to 4 months: 13 houses per month
- From 4 to 8 months: 15.5 houses per month
Since the rates of change are not constant (11, 13, and 15.5), this indicates that the relationship is not linear.
Therefore, the correct statement that best describes the data set is:
It is nonlinear because the increase in the “Total Houses Built” compared to the increase in the “Months Passed” does not show a constant rate of change.