Unformatted text preview: 0 x Simple linear regression summary
1. Hypothesize deterministic component 2. Estimate unknown model parameters 3. Specify probability distribution of random
error term and estimate standard deviation
of error 4. Confidence interval and testing. 5. Model validation—residual analysis. 6. Use model for prediction & estimation...
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This note was uploaded on 09/28/2011 for the course STAT METHO 33:623:385 taught by Professor Faridalizadeh during the Spring '11 term at Rutgers.
- Spring '11