I have just run a lm in R and here is the output:
Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -1.182e+01 1.558e+01 -0.759 0.4482 ht 1.978e-01 1.909e-01 1.036 0.3003 educ 5.893e-02 7.564e-03 7.791 1.37e-14 *** age 4.022e-03 2.361e-03 1.704 0.0887 . Hb 5.329e-02 1.845e-01 0.289 0.7728 I(Hb^2) 2.048e-04 6.624e-03 0.031 0.9753 I(ht^2) -5.409e-04 5.883e-04 -0.919 0.3581
Can someone please explain to me why for this line:
I(Hb^2) 2.048e-04 6.624e-03 0.031 0.9753
I have a t value of 0.031 and this corresponds to a P value of 0.97? A t value this small is close to 0 meaning that I would expect for it to have a probability P('less than' t) close to 50%, maybe 52%? I have made an awful drawing of my understanding here:
I think my flawed understanding has something to do with the fact that R's output gives P(>|t|)?