My study involve 73 subject. I want to carry out a multiple linear regression in order to form a predicting formula. However my dependent variable is not normally distributed according to a normality test. It is close to normal distirubtion in the p-value of normality test and it looks like normal distributed data in histograms.

In this case should I continue using multiple linear regression or Should I transform the variable/using non-parametric regression method?

If I can continue using multiple linear regression, is there any statistical journal that I can cite for explaining why I can do that? Do you have some key words that I can google for?