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In predictive modeling, we should always check missing values in data. If any data is missing, we can use methods like mean, median, and predictive modeling imputation to make up for missing data. This data set has no missing values. Good for us! Now, to avoid multicollinearity, let's check correlation matrix.
In R, the base function lm is used for regression
Check the residual plots, understand the pattern and derive actionable insights
In R, the base function lm is used for regression
Check the residual plots, understand the pattern and derive actionable insights
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