<PRE><B>Question 806795</B>
Your data is not linear, but it is close to being linear.
You need to do a linear regression on your data.
Also, you have one extra area sample without a matching weight sample.
So, for this data:
Weight: 40, 60, 80, 100, 120, 230
Area: 2.5, 3, 3.5, 4, 5, 6

Answer:
Linear regression slope: 0.0185
Linear regression y-intercept: 2.0615
y = 0.0185x + 2.0615

{{{ graph( 300, 300, -10, 250, -2, 10, 0.0185x + 2.0615) }}}
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Convert fractions, decimals, and percents:
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Calculate and graph the linear regression of any data set:
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