no test has any use at all, in case of Normality test the errors should be normally distributed – technically normality is necessary only for hypothesis tests to be valid, estimation of the coefficients only requires that the errors be identically and independently distributed and linearity is the relationships between the predictors and the outcome variable should be linear . 

Thank you for your response. it was very helpful.