The project involves the multivariate regression analysis of a dataset.
cross-validation
least-squares
model-selection
t-test
confidence-intervals
outlier-detection
multicollinearity
multivariate-regression
bias-variance
simple-linear-regression
akaike-information-criterion
prediction-intervals
adjusted-r-squared
r-squared
underlying-assumptions
categorical-covariates
partial-f-test
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Updated
Oct 24, 2020 - R