ASQ
CRE · Question #254
The "least squares" description in regression analysis pertains to:
The correct answer is A. Sums of the squares of the deviations from the predictions. You've hit your weekly limit · resets 5am (America/New_York)
Data Collection and Use
Question
The "least squares" description in regression analysis pertains to:
Options
- ASums of the squares of the deviations from the predictions.
- BAverages of the predicted values.
- CThe error term in the equation.
- DThe average of the actual data minus the average of the predicted data.
How the community answered
(26 responses)- A73% (19)
- B8% (2)
- C15% (4)
- D4% (1)
Explanation
You've hit your weekly limit · resets 5am (America/New_York)
Topics
#least squares#regression analysis#curve fitting#deviation minimization
Community Discussion
No community discussion yet for this question.