I'm doing a regression analysis which involves 4 independent variables (IV). I performed a Shapiro-Wilk test to test the normality of of each of the IVs and it turned out that the the test showed a value less than 0.05 (which means the data is not normally distributed).
So the question is how do i make my data to follow a normal distribution. Because all parametric tests are based on the assumption that the data is normally distributed.
My data set consist of 26 records (n=26). The dependent variable is House Price Index. While the IV is Gross Domestic Product, Population, Lending Rates and Gross National Income.
Therefore I'm trying to come up with a regression model with these variables. But im facing the normality problem in the IV and DV data distributions.