calculate the correlation between the predictors and also between the predictor and the outcome in r
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Predictive models are extremely useful, when learning r language, for forecasting future outcomes and estimating metrics that are impractical to measure. For example, data scientists could use predictive models to forecast crop yields based on rainfall and temperature, or to determine whether patients with certain traits are more likely to react badly to a new medication. Before we talk about linear regression specifically, let’s remind ourselves what a typical data science workflow might look like
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