Lecture26 (Data2Decision) Correcting for Heteroscedasticity

(16:10)

Lecture47 (Data2Decision) Multicollinearity

(17:51)

Lecture65 (Data2Decision) Regression Design

(20:39)

Lecture62 (Data2Decision) Model Building

(26:4)

Lecture42 (Data2Decision) Multiple Regression

(23:27)

Image understanding: supervised learning: regression: total least-squares: line fitting, ax + by = 0

(16:1econd)

Lecture56 (Data2Decision) Robust Regression

(21:52)

Lecture68 (Data2Decision) Factorial Design

(29:58)

Lecture21 (Data2Decision) Leverage in Regression

(22:29)

Lecture71 (Data2Decision) Response Surface Modeling

(20:21)

Lecture50 (Data2Decision) Detecting Multicollinearity

(18:16)

Lecture53 (Data2Decision) Principal Component Analysis

(25:18)

Lecture52 (Data2Decision) Detecting Multicollinearity in R

(24:31)

Lecture51 (Data2Decision) Addressing Multicollinearity

(14:14)

Lecture34 (Data2Decision) The Wrong Model

(21:35)

Lecture30 (Data2Decision) Total Regression, part 1

(19:31)

Lecture5 (Data2Decision) Regression part 1

(26:35)

Lecture66 (Data2Decision) Simple Regression Design in R

(10:50)

Lecture24 (Data2Decision) Heteroscedasticity: When Variance Varies

(23:14)

Lecture41 (Data2Decision) Regression Review

(16:38)

Lecture4 (Data2Decisions) Process Modeling

(25:36)

Lecture28 (Data2Decision) Weighted Regression

(18:22)

Lecture63 (Data2Decision) Model Building in R

(12:43)