What is p-value?
P-value is used to check whether hypothesis tests are statistically significant or not.
if the p-value is found to be greater than 0.05 that reflects the null hypothesis can be accepted
if the p-value is less than 0.05 then the null hypothesis can be rejected.
In terms of Data Science, when to interpret the relationship between the predictor variable and the response variable in a simple linear model.
A p-value is explained, less p-value depicts that it is unbelievable to see a strong connection between the predictor and response variable is due to chance and can reject the null hypothesis.