Step 1: Recall formula for slope in least squares fit.
\[
m = \frac{N \sum xy - \sum x \sum y}{N \sum x^{2} - (\sum x)^{2}}
\]
Step 2: Compute summations.
Points: $(-1,0.8), (0,2.2), (1,2.8)$
\[
\sum x = -1 + 0 + 1 = 0
\]
\[
\sum y = 0.8 + 2.2 + 2.8 = 5.8
\]
\[
\sum x^2 = (-1)^2 + 0^2 + 1^2 = 2
\]
\[
\sum xy = (-1)(0.8) + (0)(2.2) + (1)(2.8) = -0.8 + 0 + 2.8 = 2.0
\]
$N=3$.
Step 3: Apply formula.
\[
m = \frac{3(2.0) - (0)(5.8)}{3(2) - (0)^2} = \frac{6}{6} = 1.0
\]
% Final Answer
\[
\boxed{1.00}
\]
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