Posted by **MMK** on Wednesday, March 14, 2007 at 7:39pm.

Suppose that the fit to the simple linear regression of Y on X from 6 observations produces the following residuals: -3.3, 2.1, -4.0, -1.5, 5.1, 1.6.

a) What is the estimate of sigma squared?

b) What is the estimate of sigma?

c) What are the degrees of freedom?

Sigma = standard deviation

Sigma^2 = variance

(Standard deviation is the square root of the variance.)

Square the residuals, total the squared values, then divide by n-1 (n = sample size). This will be the variance. Then take the square root of the variance for the standard deviation.

I hope this will help.

## Answer this Question

## Related Questions

- Statistics - Simple Linear Regression Analysis 2. Weight of Car: Miles gallon – ...
- statistics - Which of the following is not a consideration in determining the ...
- Statistics - Calculate a linear regression, the residuals, and the correlation ...
- Statistics - Use the following results obtained from a simple linear regression ...
- statistics - Linear Regression In the babies.dta full dataset, generate a ...
- Precalculus / Statistics - I have a question about residual plots and regression...
- statistics - A regression model has 2 independent variables and 16 observations...
- Statistics - The following linear equation, y = b0 + b1x, is a regression line ...
- statistics - Fit a regression line = a+bXi by the method of Least squares to the...
- Statistics - Using a sample of recent university graduates, you estimate a ...

More Related Questions