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1 of 8 0-day streak

Residuals and what least squares minimises

Question 1 of 8

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The data use rainfall as the explanatory variable and stream inflow as the response variable

Let \(x\) represent rainfall in mm, and let \(y\) represent stream inflow in ML. The fitted line is:

\[y = 146 + 4x\]

The stated data point is (46, 342), with the explanatory value first

(a)1 mark

Calculate the residual for the stated point

(b)1 mark

What does least squares make as small as possible?