lrasm.normality_tst

Module Contents

Functions

normality_test(X, y, p_value_thresh=0.05)

This function recieves a linear regression model and p-value threshold

lrasm.normality_tst.normality_test(X, y, p_value_thresh=0.05)

This function recieves a linear regression model and p-value threshold

and outputs the p-value from a shapiro wilks test along with a statement indicating the results of the normality test

Parameters

• X (pd.Dataframe) – Dataframe containing exploratory variable data

• y (pd.Series) – Dataframe containing response variable data

• p_value_thresh (float) – The threshold user defines for the p-value, default set to 0.05

Returns

p-value of the shapiro wilk test

Return type

float

Examples

>>> normality_test(X_train, y_train, p_value_thresh = 0.05).