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I am new to statistics and running a multi variate regression model in R to predict number of days. How do I check if my data is best fit for multi linear regression technique. Do I need to check the distribution of my response(y) variable or explanatory(x's) variables and see if they are normally distributed? If yes, then how would i do that in R? and if no, then what i need to see if the data is fit for the multi linear regression in R?

Many thanks in advance! P.K.

P.K.
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  • For such a broad question you might need to have a look at a Statistics and data analysis book. – utobi Nov 16 '16 at 12:27
  • Please see http://stats.stackexchange.com/search?tab=votes&q=regression%20diagnostic. Perhaps the most directly applicable thread is http://stats.stackexchange.com/questions/32600. **NB** It sounds like you have a *multiple regression* model rather than a "multivariate" model. The latter would be predicting a vector value, whereas "number of days" is a scalar. – whuber Nov 16 '16 at 14:14

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