16 авг. 2019 г. · I am trying to understand how to calculate the leverage in a simple linear regression (just $1$ independent variable). The leverage at value $X= ... |
15 июн. 2022 г. · I'm reading a stats textbook and it covers the idea of leverage (page 99): hi=1n+(xi−ˉx)2∑ni′=1(xi−ˉx)2. |
28 мая 2017 г. · Leverage of a point is defined as the measure of how far away the independent variable values of an observation are from those of the other observations. |
8 апр. 2016 г. · The studentized residuals are. ti=ϵiˆσ√1−hii. Where ϵi is the residual, hii the leverage and ˆσ is the estimate of the standard deviation of ... |
25 сент. 2019 г. · I want to prove equation 2.29b, but in a different way from whats given in the text. What theorems can I use to approach this? |
i have some problems with formulas. The first formula that i found in the internet. R2Adjusted=1−(1−R2)(n−1n−k). The second formula. |
31 июл. 2022 г. · Expectations of conditional expectations are just expectations, e.g.. E[E[z|x]]=E[z]. Also you can always pull out all functions of x out of ... |
25 мая 2018 г. · You want the average squared deviation. First compute the average μ by the usual formula: μ=∑x∈Ωxp(x). if X is a discrete random variable, ... |
7 дек. 2016 г. · Are you sure that this is the sum of squares of residuals? I would have expected 30∑i=1(yi−ˆyi)2. Meanwhile you have something like ... |
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