Wednesday

April 16, 2014

April 16, 2014

Posted by **Kevin** on Sunday, February 13, 2011 at 5:07pm.

σ(hat)^2(x,y) = (1/n) Σ (Xi - X (bar) ) Yi

using

σ(hat)^2(x,y)= (1/n) Σ (Xi - X(bar)) (Yi-Y(bar))

and

X(bar)= (1/n) Σ Xi

σ(hat)^2 (x,y) is the estimator of covariance

**Related Questions**

Statistics - r^2 the corelation squared measures how well the y hat is than just...

Statistics Hypothsis testing - Am I using the 2-sample T test or ANOVA? Please ...

Statistics - test the claim that μ1 = μ2 Two samples are randomly ...

Physics - The cylindrical bar in the figure has a total length L=1.2 m, a ...

physics - Hello everyone, I need help with this question: A bartender slides a ...

Physics - A bar of aluminum (bar A) is in thermal contact with a bar of iron (...

Maths - We have 15 points {Ai} placed within the unit sphere. What is the ...

Econometrics - Consider the linear model yi =xiB + ei or, in matrix notation Y= ...

math - The cost of a X chocolate bar is $3.50. The cost of a similar Y bar is $...

physics - a uniform bar of mass is supported by support pivoted at top about ...