Dr Nick

(4)

$14/per page/Negotiable

About Dr Nick

Levels Tought:
Elementary,Middle School,High School,College,University,PHD

Expertise:
Art & Design,Computer Science See all
Art & Design,Computer Science,Engineering,Information Systems,Programming Hide all
Teaching Since: May 2017
Last Sign in: 339 Weeks Ago, 5 Days Ago
Questions Answered: 19234
Tutorials Posted: 19224

Education

  • MBA (IT), PHD
    Kaplan University
    Apr-2009 - Mar-2014

Experience

  • Professor
    University of Santo Tomas
    Aug-2006 - Present

Category > Statistics Posted 09 Nov 2017 My Price 14.00

Canonical correlation takes regression to the next logical step

In both multiple and logistic regression, you learned how to examine the relationship among multiple predictors and their relationship to a single outcome. Canonical correlation takes regression to the next logical step. In this discussion, you will examine the strengths and weaknesses associated with each form of analysis, describing research situations that would be appropriate for each.

For this discussion, describe the differences among multiple regression, logistic regression, and canonical correlation.

In a minimum of 200 words, respond to the following:

  • Under what research condition would you use each analysis?
  • What are the strengths associated with each analysis?
  • What is the one major limitation of canonical correlation?
  1. Cite all sources in APA format.
  2. Please attach a Turnitin.com Report. 

Answers

Dr Nick
(4)
Status NEW Posted 09 Nov 2017 11:11 AM My Price 14.00

Hel-----------lo -----------Sir-----------/Ma-----------dam-----------Tha-----------nk -----------you----------- fo-----------r v-----------isi-----------tin-----------g o-----------ur -----------web-----------sit-----------e a-----------nd -----------acq-----------uis-----------iti-----------on -----------of -----------my -----------pos-----------ted----------- so-----------lut-----------ion----------- pl-----------eas-----------e p-----------ing----------- me----------- on----------- ch-----------at -----------I a-----------m o-----------nli-----------ne -----------or -----------inb-----------ox -----------me -----------a m-----------ess-----------age----------- I -----------wil-----------l

Not Rated(0)