Identifying degrees of freedom and sum of squares
Not what you're looking for? Search our solutions OR ask your own Custom question.
See full problem description in attached.
A company that manufactures computer chips wants to use a multiple regression model to study the effect that the variables
x1 = daily production volume
x2 = daily amount of time involved in production
have on
y = total daily production cost
If a regression model is estimated using 188 observations on each of these variables, what are the degrees of freedom for the regression, the regression sum of squares, the error sum of squares, and the total sum of squares?
© BrainMass Inc. brainmass.com March 4, 2021, 7:42 pm ad1c9bdddfhttps://brainmass.com/statistics/correlation-and-regression-analysis/identifying-degrees-freedom-sum-squares-117506
Solution Preview
Note that for p explanatory variables, the model degrees of freedom (DFM) are equal to p, the error degrees of ...
Solution Summary
The solution solves for the sum of squares and identifies the degrees of freedom for the outlined regression.
$2.49