Model summary
s r-sq r-sq(adj) r-sq(pred)
34.2385 79.91% 79.06% 76.83%
coefficients
term coef se coef t-value p-value vif
constant 1118.5 39.5 28.34 0.000
%takers -2.547 0.187 -13.62 0.000 1.05
t/s ratio -3.73 2.21 -1.69 0.098 1.05
assuming those conditions are satisfied, which of the following gives a correct interpretation of the p-value of t/s ratio?
a) at the 10% significance level, t/s ratio is a significant linear predictor.
b) at the 10% significance level, t/s is a significant linear predictor in combination with %takers.
c) at the 5% significance level, t/s ratio is not a significant linear predictor in combination with %takers.
d) both b and c.