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location I am here
age 22
visits member for 2 years, 3 months
seen Aug 27 at 12:52

I am a student.


Sep
30
awarded  Explainer
Sep
9
awarded  Popular Question
Aug
27
answered Given the sizes of various intersections, find the size of the union.
Aug
27
asked prove that $g$ is a function of $(x_1-x_2,x_2-x_3,\dots,x_{n-1}-x_n)$
Aug
20
reviewed Edit suggested edit on Perpendicular form of the straight line equation.
Aug
20
revised Perpendicular form of the straight line equation.
formatting, host image locally
Jul
15
awarded  Yearling
Jul
2
awarded  Curious
Jul
2
awarded  Inquisitive
Apr
29
comment Is extra sum of squares $SSR(X_p|X_1,…X_{p-1})$ in multiple regression always positive?
The philosophy is error sum of squares is minimum when we use LSE. Since we use $\hat \beta_0=\hat \beta_0'$ in this way and $\hat \beta_p=0$. we get this inequality.
Apr
29
revised Is extra sum of squares $SSR(X_p|X_1,…X_{p-1})$ in multiple regression always positive?
added 3 characters in body
Apr
29
comment Is extra sum of squares $SSR(X_p|X_1,…X_{p-1})$ in multiple regression always positive?
@ZhangTschao: It's typo. Reverse the inequality. I will edit.
Apr
29
revised Right-continuity of functions associated to measures
better formatting
Apr
29
suggested suggested edit on Right-continuity of functions associated to measures
Apr
29
comment Is extra sum of squares $SSR(X_p|X_1,…X_{p-1})$ in multiple regression always positive?
@ZhangTschao: See my post again.
Apr
29
revised Is extra sum of squares $SSR(X_p|X_1,…X_{p-1})$ in multiple regression always positive?
added 252 characters in body
Apr
29
comment Is it a solution of the recurrence relation?
@compguy24: Yes. Of course. Now use it.
Apr
29
answered Is it a solution of the recurrence relation?
Apr
29
comment Is extra sum of squares $SSR(X_p|X_1,…X_{p-1})$ in multiple regression always positive?
@ZhangTschao: I don't assume that residual is normal. To get normal equation we don't need to assume that residual is normal. It comes by minimizing the error sum of squares.
Apr
29
answered Matrix and vector multiplication order