Quasimodo contains 26 result(s) for your request.

Subject Predicate Object Modality Polarity Plausibility Neighborhood Sigma Local Sigma Inspect
linear regression can be used in the real world POSITIVE 0.7905 0.8198 0.8315
linear regression be called linear POSITIVE 0.7628 0.7911 0.9317
linear regression be implemented in r POSITIVE 0.7191 0.7459 1.0000
linear regression be used in machine learning POSITIVE 0.6722 0.6972 0.9308
linear regression take place POSITIVE 0.5997 0.6220 0.5998
linear regression can be used to predict data POSITIVE 0.5134 0.5325 1.0000
linear regression be related to correlation POSITIVE 0.4745 0.4921 1.0000
linear regression be used in real life POSITIVE 0.4441 0.4606 0.4827
linear regression has_property convex POSITIVE 0.1897 0.1968 0.2718
linear regression has_property bad POSITIVE 0.0791 0.0821 0.0791
linear regression can used TBC[can used in real world] POSITIVE 0.0270 0.0280 0.0272
linear regression can join POSITIVE 0.0150 0.0156 0.0151
linear regression differ from analysis of variance POSITIVE 0.0105 0.0109 0.6619
linear regression be in excel POSITIVE 0.0061 0.0063 0.0061
linear regression has_property calculated POSITIVE 0.0046 0.0048 0.0046
linear regression be referred to as least squares POSITIVE 0.0037 0.0038 0.3069
linear regression be supervised learning POSITIVE 0.0015 0.0015 0.2902
linear regression has_property variable POSITIVE 0.0006 0.0006 0.0006
linear regression has_property zero POSITIVE 0.0005 0.0005 0.0005
linear regression has_property year POSITIVE 0.0005 0.0005 0.0005