search for: tp2295193p2295230

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2010 Jul 20
4
Correct statistical inference for linear regression models without intercept in R
Dear R community, is there a way to get correct t- and p-values and R squared for linear regression models specified without an intercept? example model: summary(lm(y ~ 0 + x)) This gives too low p-values and too high R squared. Is there a way to correct it? Or should I specify with intercept to get the correct values? Thank you in advance! Wojtek Musial -- View this message in context: