Identify the potential outlier (a, b, c or d) from the part of the data provided in the table below. The number of samples is 25 and the SSE is 1650 a b c d y 51 64 39 48 y-predicted 35 84 50 49 Use the fact, that the standard deviation of the residuals can be calculated from the SSE as: $s = \sqrt{\frac{SSE}{n - 2}}$
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The formula for calculating the standard deviation is: Standard Deviation = √(SSE / (n - 2)) where n is the number of samples. In this case, n = 25. Plugging in the values, we get: Standard Deviation = √(1650 / (25 - 2)) = √(1650 / 23) Show more…
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