Linear Regression

Linear regression is a regression model which tries to predict the relationship between the dependent variable Y and independent variable X in a linear fashion. It is a regression models which mean that it is used to predict continuous values. Standard Scalar transforms the data in such a manner where mean 0 and SD 1, which is standard normal distribution. How does standard scalar effects testing data? If we have reached the minimum number of features threshold. Low score is due to spread of values and skewness in the predictive column.