Calculate the sum of squared errors (SSE) from the following data:Q (actual)81012Q (predicted)8813

Sure, to calculate the sum of squared errors (SSE), you first need to find the difference between the actual and predicted values for each data point, square these differences, and then sum them up.

Here's how you do it:

1. Calculate the difference between actual and predicted values: For the first data point: 8 - 8 = 0 For the second data point: 10 - 8 = 2 For the third data point: 12 - 13 = -1

2. Square these differences: For the first data point: 0^2 = 0 For the second data point: 2^2 = 4 For the third data point: (-1)^2 = 1

3. Sum up these squared differences: SSE = 0 + 4 + 1 = 5

So, the sum of squared errors (SSE) for your data is 5.