Multiple Linear Regression

Description

Regression Mind Map on Multiple Linear Regression, created by Keith Walker on 14/04/2013.
Keith Walker
Mind Map by Keith Walker, updated more than 1 year ago
Keith Walker
Created by Keith Walker about 12 years ago
253
1
1 2 3 4 5 (0)

Resource summary

Multiple Linear Regression
  1. Y = a + b₁x₁ + b₂x₂.....bkxk
    1. xᵢ is the ᵢth explanatory variable (i= 1,2,3...k)
      1. Y is mean, expected or predicted value of y which corresponds to a group of values for x
        1. Partial Regression Coefficients where b₁ represents the amount Y equals when b₁ is increased by 1 unit and all other coefficients remain the same.
        2. Analysis
          1. Goodness of fit. Adjusted R². Lo = poor
            1. ANOVA ie H₀ b₁,b₂.....bᵢ =0 Significant result, at least one x is linear related to Y
              1. t-test of each coefficient. Same as for Linear Regression for each explanatory variable. b₁/SE(b₁)
              2. When we are interested in the effect of several explanatory variables on a dependant variable.
                Show full summary Hide full summary

                0 comments

                There are no comments, be the first and leave one below:

                Similar

                ECO 351 - Business Statistics II - Problem Set 2
                LemonKing
                ECO 351 - Business Statistics II - Vocabulary and Equations
                LemonKing
                Linear Regression
                Keith Walker
                Regression Test New Reader
                wojtek niznam
                Regression test pdf
                wojtek niznam
                Logistic Regression
                Keith Walker
                Regression (Basics)
                Stephen Dominick
                CPU and Memory
                LunaLovegood
                Biology Unit 1
                anna.mat1997
                Photosynthesis
                Landon Valencia