Linear Assumption. Linear regression assumes that the relationship between your input/independent and output/depended is linear.We can use pearson correlation to check the linearity.if we found there is no linearity between input and output variables We need to transform data to make the relationship linear (e.g. log transform,Box-cox etc..). Data Cleaning. Linear regression assumes that yourContinue reading “Liner regression assumptions”
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How to calculate Simple Liner Regression
Lets calculate linear regression for the below dataset. We have age of the person which we will denote as X and sugar level of the person which we will denote as Y Step 1) To know how to calculate mean refer link. Step 2) To know how to calculate standard deviation refer link Step 3)Continue reading “How to calculate Simple Liner Regression”
Data and Machine by viswateja 