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Linear Regression is a statistical method used to model the relationship between a dependent variable (target) and one or more independent variables (predictors). It assumes a linear relationship between the variables and predicts continuous numerical values. The model is represented by the equation: y=β0+β1x1+β2x2+⋯+βnxn+ϵ Where: y ...
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Step 1: I wouldn’t wait for the regression to ‘pass’ before teaching self-settling The 4 month regression is actually a progression - your baby’s sleep cycles mature permanently. If I had a little one at this age again, I’d teach self-settling at 4 months rather than waiting for the regression to ‘pass’. It’s the perfect time to lay the foundations for quality sleep. Step 2: I’d move to a set routine instead of following wake windows At 4 months I’d shift to a predictable routine so I’d know exa
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