Useful tips for everyday
What is the difference between machine learning and statistical learning? “The major difference between machine learning and statistics is their purpose. Machine learning models are…
Why do you include covariates? Including covariates the model allows you to include and adjust for input variables that were measured but not randomized or…
What does a higher regression coefficient mean? The sign of a regression coefficient tells you whether there is a positive or negative correlation between each…
What is 2×2 chi-square test? The 2 X 2 contingency chi-square is used for the comparison of two groups with a dichotomous dependent variable. We…
Why does skip connection facilitates gradient backpropagation? By using a skip connection, we provide an alternative path for the gradient (with backpropagation). Thus, the gradient…
What does the sum of squares for error SSE measure? The error sum of squares shows how much variation there is among the lifetimes of…
Is a correlation of significant? To determine whether the correlation between variables is significant, compare the p-value to your significance level. Usually, a significance level…
What is the relationship between the bias variance tradeoff and overfitting and Underfitting? Overfitting, underfitting, and the bias-variance tradeoff are foundational concepts in machine learning.…
Which is the best model fit statistic in CFA? Model Fit Statistics The three main model fit indices in CFA are: Model chi-square this is…
Is F distribution two sided? It’s a very clear (albeit extreme) illustration of the difference between a F-distribution and the t-distribution. To conclude: When comparing…