About today’s lecture,
- Professor gave an example of perfect linear regression model which fits the dataset so well.
- The data was about pre-molt and post- molt of the crabs.
- Variance, Skewness was high for this model.
- All the data points was around the best fit line.
- The histogram of post-molted was slightly moved towards left and was having higher peak value.
- The error was comparatively minimal.
- r2_score value was up to the mark.
- Then we saw the concept of t-test.
- t-test compares the means of two groups.
- If software says t-test is violated then we use Monte Carlo Test.
- In Monte Carlo Test, it predict possible outcome of an uncertain event.