Proof that more predictor variables will lead to less SSR
10967
Why is sum of squared residuals non-increasing when adding explanatory variable?
158317
Understanding Lasso Regression's sparsity geometrically
67090
Casting a multivariate linear model as a multiple regression
54879
Using x to predict y when they are highly correlated
124973
Discrete Uncorrelated Dependent Random Variables
10730
Proof that regression residual error is an unbiased estimate of error variance
51189
The equivalence of sample correlation and R statistic for simple linear regression
28006
The minimum of two independent geometric random variables
156916
Intuitive and Formulaic Justification for the Rao-Blackwell Theorem
53330
Lasso and statistical signficance of selected variables
710
Importance of predictors in multiple regression: Partial $R^2$ vs. standardized coefficients
110323
bounded predictor variable modeling constraint
3013
Why does the Lasso provide Variable Selection?
87448
Why is a sample covariance matrix singular when sample size is less than number of variables?
9621
Bound for the correlation of three random variables
158823
Principal component analysis "backwards": how much variance of the data is explained by a given linear combination of the variables?
152881
Using R's lm on a dataframe with a list of predictors