What does the shape of the Q-Q plot for "post" suggest in terms of data distribution?

Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk Statistic df Sig. Statistic df Sig. Pre .089 45 .200 * .984 45 .766 Post .102 45 .200 .963 45 162 Followup .115 45 160 .959 45 .112 *. This is a lower bound of the true significance. a. Lilliefors Significance CorrectionPost Normal Q-Q Plot of Post 2 1 O . . Expected Normal 0 -1 -2 -3 0 10 20 30 40 Observed Value