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Q24Section ST (Statistics (Q11–Q65))24 of 65

Regression through origin after reparametrisation

For a given data (xi,yi)(x_i, y_i), i=1,2,…,ni = 1, 2, \dots, n, with ∑i=1nxi2>0\sum_{i=1}^{n} x_i^2 > 0, let β^\hat{\beta} satisfy ∑i=1n(yi−β^xi)2=inf⁡β∈R∑i=1n(yi−βxi)2\sum_{i=1}^{n} (y_i - \hat{\beta} x_i)^2 = \inf_{\beta \in \mathbb{R}} \sum_{i=1}^{n} (y_i - \beta x_i)^2. Further, let vj=yj−xjv_j = y_j - x_j and uj=2xju_j = 2x_j, for j=1,2,…,nj = 1, 2, \dots, n, and let γ^\hat{\gamma} satisfy ∑i=1n(vi−γ^ui)2=inf⁡γ∈R∑i=1n(vi−γui)2\sum_{i=1}^{n} (v_i - \hat{\gamma} u_i)^2 = \inf_{\gamma \in \mathbb{R}} \sum_{i=1}^{n} (v_i - \gamma u_i)^2. If β^=10\hat{\beta} = 10, then the value of γ^\hat{\gamma} is

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