Input interpretation
linear regression | elements | electronegativity atomic number
Regression analysis
Regression analysis
model | y = α + x^⇀·β^⇀ + ϵ dependent variable | y (atomic number) independent variables | x (electronegativity)
| estimate | confidence α | 78.20±8.45 | > 99% β_1 | -15.15±4.57 | > 99%
| t-statistic | p-value α | 9.3 | 8.4×10^-15 β_1 | -3.3 | 0.0013
R^2 | 0.107 adjusted R^2 | 0.097 F-value | 11 (p = 0.00132) MSE | 788 AIC | 898 BIC | 905
atomic number tends to be larger for smaller electronegativity
Statistical statements
electronegativity and atomic number have significantly different medians (Mann-Whitney test)
Histogram of values
Histogram of values
Statistics
Location
mean | 1.74 minimum | 0.700 (francium) first quartile | 1.28 median | 1.63 third quartile | 2.18 maximum | 3.98 (fluorine) mode | 1.30 (10 occurrences) total | 163 count | 94
Dispersion
sample standard deviation | 0.637 sample variance | 0.406 interquartile range | 0.900 sample range | 3.28 coefficient of variation | 0.367
Shape
skewness | 0.859 kurtosis | 3.77