The least of squares process is significant in Chi sq. to find the road of very best fit in a dataset. This technique aims at making a straight line that minimizes the sum in the squares in the errors created.
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Simple Linear Regression (SLR) is 1 wherein We have now a single independent variable, this means we cope with a straight line equation. However, logistic regression entails two or even more unbiased variables.
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