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There are two kurtosis types As noted in the comments, a trimodal distribution seems to fit the ticket as well. Positive (leptokurtic) and negative (platykurtic)

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Leptokurtic is heavy tailed, and platykurtic is thin tailed It looks like a mixture of platykurtic and leptokurtic distributions But leptokurtic is more thinner and pointy than platykur.

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6 i am trying to understand how the distribution on the right is platykurtic I learned that platykurtic indicates lighter and thinner tails and from what it looks like, the bimodal distribution, with a superimposed normal curve, seems to have a lot more values in the tails The density functions of the standardized variables corresponding to these distributions are shown on the current wikipedia page, and are also shown below 14 i use heavy tail lambert w x f distributions to describe and transform leptokurtic data

See (my) following posts for more details and references Transformation to increase kurtosis and skewness of normal r.v This shows some illustrations of how the densities vary when varying $\delta$. Basically, the difference of a platykurtic distribution from a normal distribution is that the central tendency is weaker, and there is less of a difference between the probabilities of relatively common vs

How do i know whether a distribution is leptokurtic or platykurtic by only having the box plot?

Even without this, it appears from your histogram that it is probably leptokurtic It has a higher peak, lower shoulders and fatter tail than the normal distribution From the histogram it looks quite close to a pearson type vi distribution with positive excess kurtosis and possibly some slight positive skew. That seems to match the residuals histogram you show