The least squares technique of fitting a curve to a set of data is based on: the sum of squared differences between the data and the proposed model. b. the sum of squared data values. O c. the sum of squared power of the proposed model. d. the sum of differences between the data and the proposed model. e. the sum of absolute values of differences between the data and the proposed model. a.

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