Lecture 5 Hypothesis Testing in Multiple Linear Regression
Lecture 5 Hypothesis Testing in Multiple Linear
Regression
BIOST 515
January 20, 2004
1
Types of tests
? Overall test ? Test for addition of a single variable ? Test for addition of a group of variables
2
Overall test
yi = 0 + xi11 + ? ? ? + xipp + i Does the entire set of independent variables contribute significantly to the prediction of y?
3
Test for an addition of a single variable
Does the addition of one particular variable of interest add significantly to the prediction of y acheived by the other independent variables already in the model?
yi = 0 + xi11 + ? ? ? + xipp + i
4
Test for addition of a group of variables
Does the addition of some group of independent variables of interest add significantly to the prediction of y obtained through other independent variables already in the model?
yi = 0 + xi11 + ? ? ? + xi,p-1p-1 + xipp + i
................
................
In order to avoid copyright disputes, this page is only a partial summary.
To fulfill the demand for quickly locating and searching documents.
It is intelligent file search solution for home and business.
Related download
- lecture 13 estimation and hypothesis testing for logistic
- hypothesis tests in multiple regression analysis
- chapter 9 simple linear regression
- multiple regression analysis in minitab
- hypothesis testing in linear regression models
- hypothesis testing in the multiple regression model
- lecture 5 hypothesis testing in multiple linear regression
- 4 hypothesis testing in the multiple regression model
- lecture 12 linear regression test and confidence intervals
Related searches
- multiple linear regression null hypothesis
- hypothesis testing in nursing example
- hypothesis testing in daily life
- multiple linear regression hypothesis test
- multiple linear regression excel mac
- multiple linear regression spss
- multiple linear regression in excel
- multiple linear regression analysis spss
- interpreting multiple linear regression spss
- multiple linear regression analysis
- weighted multiple linear regression r
- multiple linear regression in matlab