Hi @SN131,

You can test the normality of your regression residuals as follows:

```
# See: https://cran.r-project.org/web/packages/olsrr/vignettes/residual_diagnostics.html
library(olsrr)
#>
#> Attaching package: 'olsrr'
#> The following object is masked from 'package:datasets':
#>
#> rivers
model <- lm(mpg ~ disp + hp + wt + qsec, data = mtcars)
ols_plot_resid_qq(model)
```

```
ols_test_normality(model)
#> -----------------------------------------------
#> Test Statistic pvalue
#> -----------------------------------------------
#> Shapiro-Wilk 0.9366 0.0600
#> Kolmogorov-Smirnov 0.1152 0.7464
#> Cramer-von Mises 2.8122 0.0000
#> Anderson-Darling 0.5859 0.1188
#> -----------------------------------------------
ols_test_correlation(model)
#> [1] 0.970066
```

^{Created on 2021-04-20 by the reprex package (v2.0.0)}