Coursera - Linear Regression and Modeling

284.04 MB | 00:11:49 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
01 introduction-to-statistics-with-r (14.89 MB)
02 introduction (4.25 MB)
03 correlation (17.64 MB)
04 residuals (3.63 MB)
05 least-squares-line (22.06 MB)
02 prediction-and-extrapolation (6.98 MB)
03 conditions-for-linear-regression (19.45 MB)
04 r-squared (7.9 MB)
05 regression-with-categorical-explanatory-variables (10.81 MB)
02 outliers-in-regression (12.06 MB)
03 inference-for-linear-regression (24.68 MB)
04 variability-partitioning (10.98 MB)
01 introduction (5.6 MB)
03 multiple-predictors (20.65 MB)
04 adjusted-r-squared (18.52 MB)
05 collinearity-and-parsimony (6.93 MB)
02 inference-for-mlr (23.86 MB)
03 model-selection (22.46 MB)
04 diagnostics-for-mlr (14.55 MB)
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