Show that the least-squares prediction equation

Chapter 11, Problem 103SE

(choose chapter or problem)

Show that the least-squares prediction equation

        \(\hat{y}=\widehat{\beta_{0}}+\widehat{\beta_{1}} x_{1}+\ldots+\beta_{k} x_{k}\)

passes through the point \(\left(\overline{X_{1}}, \overline{X_{2}}, \ldots, \overline{X_{k}}, \bar{y}\right)\).

Equation transcription:

Text transcription:

hat{y}=widehat{beta{0}}+widehat{beta{1}} x{1}+ldots+beta{k} x{k}

(overline{X{1}}, overline{X{2}}, ldots, overline{X{k}}, bar{y})

Unfortunately, we don't have that question answered yet. But you can get it answered in just 5 hours by Logging in or Becoming a subscriber.

Becoming a subscriber
Or look for another answer

×

Login

Login or Sign up for access to all of our study tools and educational content!

Forgot password?
Register Now

×

Register

Sign up for access to all content on our site!

Or login if you already have an account

×

Reset password

If you have an active account we’ll send you an e-mail for password recovery

Or login if you have your password back