Dr. Bronlyn creates a linear model in R for the variables X and Y using the command lm(Y~X). The summary values for the linear regression model is given below. Coefficients Table Variables Estimate of coefficient P-value (intercept) 55 0.0010 X 4.5 0.0472 R-squared for model: 0.3193 To determine if there is a statistically significant correlation between X and Y, we would look at the number ________ that appears in the output above, and make a conclusion about if X and Y are correlated based on if that number is greater than 0.05 or less than 0.05