Question

Consider the following data of 11 samples on 8 variables by Anscombe, Francis J. (1973):

x1 x2 x3 x4 y1 y2 y3 y4
10 10 10 8 8.04 9.14 7.46 6.58
8 8 8 8 6.95 8.14 6.77 5.76
13 13 13 8 7.58 8.74 12.74 7.71
9 9 9 8 8.81 8.77 7.11 8.84
11 11 11 8 8.33 9.26 7.81 8.47
14 14 14 8 9.96 8.10 8.84 7.04
6 6 6 8 7.24 6.13 6.08 5.25
4 4 4 19 4.26 3.10 5.39 12.50
12 12 12 8 10.84 9.13 8.15 5.56
7 7 7 8 4.82 7.26 6.42 5.56
5 7 5 8 5.68 4.74 5.73 5.56

If the vectorequationthen obtain the sample covariance matrix between equation

Source: Anscombe, Francis J. (1973). Graphs in statistical analysis. The American Statistician, 27, 17– 21. doi: 10.2307/2682899.

29 Apr 2025
Answer :
Word Count : 510
We are asked to compute the sample covariance matrix between $\underline{x} = (x_1, x_2, x_3, x_4)^\top$ and $\underline{y} = (y_1, y_2, y_3, y_4)^\top$ for Anscombe's dataset. Let’s solve manually step by step. --- ### Step 1: Recall formula for covariance For two variables $X$ and $Y$ with $n$ observations: $$ \text{Cov}(X, Y) = \frac{1}{n-1} \sum_{i=1}^{n} (X_i - \bar{X})(Y_i - \bar{Y}) $$ The sample covariance matrix between vectors $\underline{x} = (x_1, x_2, x_3, x_4)$ and $\underline{y} = (y_1, y_2, y_3, y_4)$ is a $4 \times 4$ _____ _______ __________ __________ ______ _____ __________.
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