Chapter 14 Flashcards
What is the regression formula with two independent variables
yhat= a+bx1+bx2
The square root of SSE/n-(K+1), also the square root of MSE
Multiple standard error of estimate
The percent of variation in the dependent variable y, explained by the set of independent variables
Coefficient of multiple determination
Characteristics of Coefficient of Multiple Determination
- Capital R
- Ranges from 0 to 1
- It cannot assume negative values
- It is easy to interpret
What does SSR/SST give you
Coefficient of multiple determination
This test investigates whether it is possible that all the independent variables have zero regression coefficients
Global test
What are the 5 characteristics of a global test
- Based on family of F-distributions
- F distribution cannot be negative
- It is a continuous distribution
- Positively skewed
- It is asymptotic
What df should be used when doing individual t test for the independent variables
The residual df
How should the standard error be interpreted for a regression model
It is the typical “error” when the regression equation is used to predict Y
What are the 5 assumptions of a for a multiple regression test
- There is a linear relationship
- The variation in the residuals is the same for both large and small values of yhat
- The residuals follow the normal probability distribution
- The independent variables should not be correlated
- The residuals are in independent
What happens to if the number of variables in a multiple regression is equal to the sample size
The coefficient of determination becomes 1
Term for The variation around the regression equation is the same for all of the values of the independent variables
Homoscedasticity
Term for events where independent variables are correlated
multicollinearity
When successive residuals are correlated. Residuals will cluster mostly positive on the left and negative on the right
autocorrelation
A variable in which there are only two possible outcomes. For analysis, one of the outcomes is coded a 1 and the other a 0
Dummy variable