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GH Data Analysis
Multivariate Analysis (T Pierce)
8
Health Care
03/28/2011
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Term
variance equation
 Definition
p (1-p)
Term
purpose of simple regression model
 Definition
Can be used to study the relationship between two variables
Term
ordinary least squares
 Definition
  • method of finding the linear model which minimizes the sum of the squared errors.
  • Such a model provides the best explanation/prediction of the data.
Term
implications of squared errors
 Definition

  • This model seeks to avoid BIG misses
  • A big u for one case leads to a REALLY big u2.
  • This means regression results can be heavily influenced by outlier cases
Term
assumptions of linear regression model
 Definition

 

  • Linear in the parameters
  • Random sampling
  • Sample variation in the explanatory variables
  • Zero conditional mean (what I explained on the previous slide)
  • Homoskedasticity—the variance (spread) of the error (u) is the same for any value of X
Term
purpose of R squared
 Definition

 

  • Describes the proportion of variation in the dependent variable explained by the independent variables.
    • R2= SSE/SST
  • The typical R2 depends on what you’re trying to predict.
  • R2 tends to be lower with individual data and higher with aggregated data.
Term
Effect of adding more IV's to R squared
 Definition
it can never decrease when I add more IV's (it will either stay the same or increase)
Term
assumption of normality
 Definition
We assume that the unobserved error is normally distributed in the population