Hypothesis testing evaluates result validity by testing if the coefficients (e.g., Average Pulse and intercept) are zero, using a null and alternative hypothesis.
The null hypothesis is denoted as H0, and the alternative hypothesis is denoted as HA.
Mathematically expressed:
The symbol “≠” means “not equal to.”
If the P-value is below 0.05, we reject the null hypothesis and conclude a relationship between Average Pulse and Calorie Burnage. With a P-value of 0.824 for Average Pulse, we cannot conclude a relationship, as there’s an 82.4% chance the coefficient is zero. The intercept’s P-value is typically not interpreted, as it helps improve prediction precision.