'QQ plot result doesn't correspond to normality test
I am considering an ANOVA model for such data:
Student Class Points on exam Day of studying
1 P1 12 Day 10
2 P3 23 Day 5
3 P3 8 Day 1
4 P2 36 Day 10
5 P1 10 Day 1
6 P2 86 Day 10
7 P1 13 Day 5
and such ANOVA model:
model <- aov(Points ~ Class + Day, data)
how can I check if this model satisfies the normality of distribution? (other than the Q-Q plot of the model?)
My Q-Q plot of the model (above) seems to show normal distribution but when I perform Shapiro-Wilk( that considers only Points) the p-value comes out incredibly small... Therefore I don't know if I can assume the normality or not.
Shapiro-Wilk normality test
data: Points
W = 0.92212, p-value = 9.97e-13
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