• 142 points

• 142 points
• mean x = 54.26

• 142 points
• mean x = 54.26
• mean y = 47.83

• 142 points
• mean x = 54.26
• mean y = 47.83
• std dev x = 16.76

• 142 points
• mean x = 54.26
• mean y = 47.83
• std dev x = 16.76
• std dev y = 26.93

• 142 points
• mean x = 54.26
• mean y = 47.83
• std dev x = 16.76
• std dev y = 26.93
• linear regression: y = 53 – 0.1x

• 142 points
• mean x = 54.26
• mean y = 47.83
• std dev x = 16.76
• std dev y = 26.93
• linear regression: y = 53 – 0.1x

• 11 points
• mean x = 9
• mean y = 7.5
• std dev x = 3.32
• std dev y = 2.03
• linear regression: y = 3 + 0.5x

• 142 points
• mean x = 54.26
• mean y = 47.83
• std dev x = 16.76
• std dev y = 26.93
• linear regression: y = 53 – 0.1x

• 142 points
• mean x = 54.26
• mean y = 47.83
• std dev x = 16.76
• std dev y = 26.93
• linear regression: y = 53 – 0.1x

• 100 points
• mean x = 0.50
• mean y = 0.52
• std dev x = 0.17
• std dev y = 0.18
• corellation coefficient = 0.16

• 100 points
• mean x = 0.50
• mean y = 0.52
• std dev x = 0.17
• std dev y = 0.18
• corellation coefficient = 0.16

• 100 points
• mean x = 0.50
• mean y = 0.52
• std dev x = 0.17
• std dev y = 0.18
• corellation coefficient = 0.16

• 100 points
• mean x = 0.50
• mean y = 0.52
• std dev x = 0.17
• std dev y = 0.18
• corellation coefficient = 0.16

A.json

[[0.7058143269490175, 0.35951453073758777], [0.3490537553358958, 0.44545945715419183], [0.6303838213641422, 0.5152897895270406], [0.5502043119325066, 0.6820498170645616], [0.4549668420986861, 0.7304318971134643], [0.6413765019116127, 0.47946729264473714], [0.34970695513743144, 0.3493506469521622], [0.6593894598664994, 0.44292815304339506], [0.40879324965156716, 0.3564647817180489], [0.5342410312145757, 0.7180948547448794], [0.6718197199933059, 0.39668495142962595], [0.5702708838638304, 0.6326556584502799], [0.5962510015986692, 0.5722876356327468], [0.44986031370902846, 0.6619606919234413], [0.577977893943999, 0.6185269958535764], [0.3954966310907959, 0.574040391949612], [0.5091165745070613, 0.7949045529224001], [0.6323769023475679, 0.49804311848014643], [0.47753611387587097, 0.7514874344252763], [0.4886678582797327, 0.7762141271505811], [0.6874929075155781, 0.3600617616386901], [0.5610036284133842, 0.6606465620449904], [0.5558419703582647, 0.6548176915783931], [0.5257116710986806, 0.7242106880456165], [0.3937780780078551, 0.5584328781646323], [0.5439179800694054, 0.7104943382376516], [0.6813622818591064, 0.38133202431697766], [0.40998274058529033, 0.5866595765867212], [0.6533387843101592, 0.42325497942138907], [0.21718943507073657, 0.1630179998322634], [0.4740415117975982, 0.7495775060898462], [0.34877803773014937, 0.4601427875056204], [0.6555868312286115, 0.4427670924442272], [0.19140431580089995, 0.1559998873462069], [0.43801786221384753, 0.6621127112369658], [0.6057317584527174, 0.5401457385023424], [0.39519143638466986, 0.5794696506496597], [0.257687666207157, 0.23270770931133247], [0.24897214245443838, 0.22512477812564352], [0.3764717085780298, 0.5211576912186255], [0.46136978569965165, 0.7083201875652173], [0.5949099614577134, 0.5689858497916365], [0.5181199792039776, 0.765431790073729], [0.3984405665551793, 0.5700848353968689], [0.49622362431321665, 0.3524670102032675], [0.6524111131712587, 0.4463187417382487], [0.46597711509595546, 0.7295487260077134], [0.6059262858625541, 0.5721351069017073], [0.010510371669362282, 0.2710616750789899], [0.7190826273772223, 0.3242572203676528], [0.3066689922653744, 0.35262290015825265], [0.6141356142780039, 0.5377837008819117], [0.40074316425581835, 0.5989668258195441], [0.7259254025537754, 0.3870566253130199], [0.4598982145010793, 0.7169054554333579], [0.4349200272971141, 0.6357486335764074], [0.614702611802129, 0.5516221792582188], [0.7962435301658728, 0.1457925884693976], [0.730243540184652, 0.2716641589212495], [0.4907362441010834, 0.77147563737178], [0.19998771832068443, 0.12040830745608282], [0.23048609301087958, 0.16955005213585023], [0.5904204867026195, 0.5993262178582951], [0.3970651877500925, 0.5578638770608519], [0.6241168992013643, 0.5184932692894068], [0.5886682371656131, 0.5794632332957981], [0.48370187962318034, 0.7514466697509267], [0.3240904805830741, 0.41983499549717934], [0.424408344566687, 0.6237015935898891], [0.5097313692654898, 0.7946550714534694], [0.7728284374496045, 0.18420933437752662], [0.36535735015782017, 0.4859480033882448], [0.6308608635585862, 0.5261893536972901], [0.7780379097646198, 0.32777609478723135], [0.5453952822042277, 0.6807881480071309], [0.6183500498419997, 0.5381846548873154], [0.44463067703550685, 0.6701491442421421], [0.6262716453267935, 0.4921534726051987], [0.6013981644219126, 0.5660638336564932], [0.8073588906200958, 0.10141906888960003], [0.6001675155954812, 0.38311266710567965], [0.5309291352077092, 0.7330164957508515], [0.48240945088620096, 0.7557080679176033], [0.5836707748681382, 0.6216141989497986], [0.5011244398986322, 0.7999687497281943], [0.000998644915045762, 0.18633134824761985], [0.46278845772173993, 0.7260355181045701], [0.5431706353665537, 0.7050648066457988], [0.6471866975795264, 0.520199039737681], [0.5364334916069082, 0.7175955090175625], [0.37610089053175966, 0.5113643192201548], [0.2843627663629613, 0.31021375519777805], [0.7090196407588187, 0.34158657411901], [0.48239005750269665, 0.7334386179006382], [0.31886290576981074, 0.37916273495273284], [0.29036628954440585, 0.331957728744578], [0.4287673724828911, 0.66498226178587], [0.3421560797418867, 0.440428118094972], [0.007192493480488163, 0.17448751178874095], [0.7056537411503118, 0.33134714036302276]]

pip install databet

import databet
databet.load_letter("A")