query: Formulate equation after fitting to log(y)~x) using lm()
positive_passages.docid: 154255
positive_passages.text: How to translate the results from lm() to an equation?
negative_passages.docid: 6304
negative_passages.text: Evaluate $\lim_{(x,y) \to (0,0), x+y \neq 0}{\frac{\ln(1-x-y)}{x+y} } $
negative_passages.docid: 79504
negative_passages.text: Analytical solution of a simple regression with fixed intercept
negative_passages.docid: 20337
negative_passages.text: Add regression line equation and R^2 on graph
negative_passages.docid: 110461
negative_passages.text: Fitting data without an equation
negative_passages.docid: 125342
negative_passages.text: How do I determine parameters of normal & lognormal distribution given two points?
negative_passages.docid: 104227
negative_passages.text: How to obtain the limit of $xy\log(x^2+y^2)$ when $(x,y)\to(0,0)$ without using polar coordinates or L'Hôpital?
negative_passages.docid: 49999
negative_passages.text: Express $y$ from $\ln(x)+3\ln(y) = y$
negative_passages.docid: 126797
negative_passages.text: Elasticity of log-log regression
negative_passages.docid: 101697
negative_passages.text: Plotting logarithmic regression with gnuplot using PGFPlots
negative_passages.docid: 91193
negative_passages.text: Natural log approximation
negative_passages.docid: 54796
negative_passages.text: Choosing between LM and GLM for a log-transformed response variable
negative_passages.docid: 13476
negative_passages.text: Fitting models in R where coefficients are subject to linear restriction(s)?
negative_passages.docid: 158316
negative_passages.text: How to find regression coefficients $\beta$ in ridge regression?
negative_passages.docid: 117183
negative_passages.text: Deriving the maximum likelihood for the parameters in linear regression
negative_passages.docid: 141269
negative_passages.text: Linear regression not fitting well
negative_passages.docid: 116463
negative_passages.text: R linear regression issue : lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...)