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Which of the following is/are true for a curve-fit using a least-squares regression analysis? Please select all that apply. O a. We choose our polynomial coefficients such that the SSE (sum of the squared error) is equal to zero. Ob. We assume the measurement error scales with the measured value. Oc We can arbitrarily fit any polynomial we like when analyzing our data. O d. We assume the error in the measured value is distributed normally. De. We assume the independent variable (i.e., the experimental input) shows no random error.

Which of the following is/are true for a curve-fit using a least-squares regression analysis? Please select all that apply. O a. We choose our polynomial coefficients such that the SSE (sum of the squared error) is equal to zero. Ob. We assume the measurement error scales with the measured value. Oc We can arbitrarily fit any polynomial we like when analyzing our data. O d. We assume the error in the measured value is distributed normally. De. We assume the independent variable (i.e., the experimental input) shows no random error.

Elements Of Electromagnetics
Elements Of Electromagnetics
7th Edition
ISBN:9780190698614
Author:Sadiku, Matthew N. O.
Publisher:Sadiku, Matthew N. O.
ChapterMA: Math Assessment
Section: Chapter Questions
Problem 1.1MA
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Which of the following is/are true for a curve-fit using a least-squares regression analysis? Please select all that apply. Oa. We choose our polynomial coefficients such that the SSE (sum of the squared error) is equal to zero. Ob. We assume the measurement error scales with the measured value. Oc We can arbitrarily fit any polynomial we like when analyzing our data. d. We assume the error in the measured value is distributed normally. e. We assume the independent variable (i.e., the experimental input) shows no random error.
Transcribed Image Text:Which of the following is/are true for a curve-fit using a least-squares regression analysis? Please select all that apply. Oa. We choose our polynomial coefficients such that the SSE (sum of the squared error) is equal to zero. Ob. We assume the measurement error scales with the measured value. Oc We can arbitrarily fit any polynomial we like when analyzing our data. d. We assume the error in the measured value is distributed normally. e. We assume the independent variable (i.e., the experimental input) shows no random error.
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