Having evaluated the code below,
data = {{0, 2}, {1, 0}, {2, 1}, {3, 8}, {4, 8}, {5, 6}, {6, 7}}
lm = LinearModelFit[data, {x, x^2}, x]
lm["ANOVATable"]
lm["ParameterTable"]
Show[ListPlot[data], Plot[lm[x], {x, 0, 10}], Frame -> True]
what is the meaning of the ANOVATable p-values list (what statistics and hypotesis is it related)? Which table (ANOVATable or ParameterTable) p-values should I use for regression model coefficients significiance inference? Where can I get detailed information (in Mathematica help it is very poor )?
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