Boxplot suggests that there is a lot of outliers in columns :CRIM, ZN, RM, DIS, B, LSTAT, since linear regression could be very sensitive towards the outliers so having too much outliers might result in poor prediction. I have tried diagnosing that problem in following ways : ...
In general, observations from these indicators are concentrated around the mean and the median, and vary Discussion Our results do not fit with a story of sellers adulterating seeds as they go proceed the supply chain. Our prior belief was that seed quality would deteriorate as it is moves ...
A) trend analysis B) ratio analysis C) scatter plot D) correlation analysis You have heard the expression, "Correlation does not mean Causation." To what extent is this true, and to what extent is it misleading? Why, if it is possible to use it, is line...
For all of these reasons, it is easy to 'overfit' a model to the local context of the sites that happened to be surveyed. Models fitted in such a way are not robust to use with other cyclones that have differing intensity, size, translation speed, or duration near reefs, and so ...
Boxplot suggests that there is a lot of outliers in columns : CRIM, ZN, RM, DIS, B, LSTAT, since linear regression could be very sensitive towards the outliers so having too much outliers might result in poor prediction. I have tried diagnosing that problem in following ways : CRIM,ZN...