P-value represents the probability that the coefficient is actually zero. A low p-value or less than .05, means you reject your null hypothesis and generally, accept the alternative hypothesis.. A p-value greater than .05, indicates accepting the null hypothesis and therefore rejecting the alternative hypothesis. Why is p-value important? I understood it like this, A p-value lower than .05 in the independent variable (predictor or x-axis) is likely a significant addition to the model because changes in the predictor’s (independent variable or x-axis or input) value are related or impacts changes in the features. (dependent variable or y-axis or response or outcome).
Hi, my name is Bram and I’ve always dreamed of becoming a Data Scientist! If you think I’m kidding, you’re 100% correct. Truth be told, I’ve never thought of becoming a data scientist or do anything data related. However, at a young age, I had an affinity for leveraging domain knowledge and exploiting opportunity to advance my agenda. Which domain knowledge you ask? Pokemon cards. When I was seven, I moved to the states from Jakarta, Indonesia. My parents worked long hours to provide for me and my three siblings. We did chores out of responsibility, and because our parents told us so. What we didn’t realize, until it was too late was, our friends were also doing chores but were getting paid for it. It was a sad realization on our part, but I believe we benefited from it. Back to Pokemon cards! Essentially, I used my “domain” knowledge to trade with friends for cash, or game consoles that I desired and did not want to pay for.