Variation of consumption

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  Since R^2 = 65%, the percentage of the total variation in highway fuel consumption that can be explained by the linear correlation between weight and highway fuel consumption is 65%.

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  This is the proportion of the total variation in fuel consumption that is explained by the simple linear regression model. E. This value has no practical interpretation.

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• Rio-River Railroad

  
  The resulting R2 = 0.9037, which means that 90.37% of the total variation in fuel consumption is explained by adding more cars.

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  Calculate the SSE (Error variation), SS Total (Total variation), SSR (Variation explained by the regression), the correlation coefficient and the coefficient of determination. How would you interpret each of these quantities?

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  This means that 53% of variation of the death in heart disease can be explained by the linear relationship between x and y (as described by the regression equation). The other 47% of the total variation in y remains unexplained.