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You fit a simple linear regression model to explain the consumption of milk (target variable) using the consumption of coffee (explanatory variable). The R-squared value

You fit a simple linear regression model to explain the consumption of milk (target variable) using the consumption of coffee (explanatory variable). The R-squared value of your linear regression is less than 20%. This means that there is no statistically significant relationship between milk consumption and coffee consumption at the 5% significance level.

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