How To Use Linear regression In A Sentence
-
The normal equation of linear regression is used to calculate the effects of high frequency components on the determination of secular trend of relative sea level(RSL).
-
The next step in the simple linear regression procedure is to determine if the remaining squared error of prediction is acceptable or not.
-
Before you plunge into learning more advanced techniques, like multiple regression or manova, you could benefit from having a solid understanding of simple linear regression.
-
The two curvilinear models were exponential growth or decay curves and piecewise linear regression models.
-
Rummel seems to be stale on multilinear regression.
Multicollinearity and Micronumerosity, Bryan Caplan | EconLog | Library of Economics and Liberty
-
Artificial neural network: a universal function approximator (= non-linear regression model) weights weights x1 a ij b jk y1 ⎛ N hid ⎞ x2 u 1x y2 yk = F ⎜ bok + ⎜ ⎝ ∑ b jk u j ⎟ ⎟
Recently Uploaded Slideshows
-
For example, taking logs of the data is one such trick Y=XY can be transformed into the linear regression log(Y)=log(X)+log(Y) (you can have exponents on the X and Y but I didn’t want to unnecessarily complicate this example).
An Exchange at Scientific American « Climate Audit
-
To investigate relations between sets of possible explanatory factors and each outcome variable a stepwise multiple linear regression analysis was used.
-
Table V shows results of stepwise multiple linear regression analysis of outcome variables from the ventilated infants.
-
The dependent variables for the linear regression models are the percentages of expected corn and soybean production forward priced.
-
To investigate relations between sets of possible explanatory factors and each outcome variable a stepwise multiple linear regression analysis was used.
-
It's not often I actually get excited by bivariate scatter plots, linear regression equations, and correlation coefficients, but the Archaeopteryx note is quite good, basically Bennett's defence of his interpretation of the nine known specimens of the taxon as a single "species," following from an awareness of interspecific variation resulting from ontogeny and, also, concerns about parsimony.
As Kyle passes by.
-
This index takes a home's size, type, location and other characteristics into account using a complex technique known as multivariate linear regression analysis.
Understanding The Case-Shiller Housing Index
-
Clinal patterns were determined by linear regression of the trait means on clinal temperature (T cline ).
-
For every line in order, perform a nonlinear regression to fit the line to an equation y = b0 + b1x + b2 (1. 1-x) b3 [+b4 sin (2πx + b5)] where the sinusoidal portion is optional for each page.
Dewarping pages « The Half-Baked Maker
-
How in the world can someone understand a paper describing the allometric law relating metabolic rate to body mass unless they understand power law relations, exponential and logarithmic functions, and linear regression?
How would *you* strengthen science in the U.S.? - The Panda's Thumb
-
Table V shows results of stepwise multiple linear regression analysis of outcome variables from the ventilated infants.
-
We present the results of the linear regression analyses as relative risks and 95% confidence intervals.
-
Each patient had three measurements of bone mineral density and rates of bone loss were estimated by linear regression for each subject.
-
Accordingly, the end for multiple regression as against linear regression appeared quite reasonable.
-
NET statistics library that provides functions for statistical computation and biostatistics, including descriptive statistics, probability distributions, linear regression, hypothesis testing, ANOVA, multivariate statistics, partial least squares, clustering, and nonnegative matrix factorization (NMF).
Bobsguide Financial Industry News
-
The static state models of an EGO sensor were obtained by using piecewise polynomial method and nonlinear regression analysis method based on available experimental data.
-
I also demonstrated how to develop and implement the heart of a simple linear regression algorithm using PHP as the implementation language.
-
The next step in the simple linear regression procedure is to determine if the remaining squared error of prediction is acceptable or not.
-
Correlation studies were performed using linear regression and Spearman's correlation coefficients were calculated.
-
To investigate relations between sets of possible explanatory factors and each outcome variable a stepwise multiple linear regression analysis was used.
-
Multiple linear regression is used extensively in prediction.
-
Because there is so little actual signal in the data, there is surprisingly low collinearity in the regressors and the regression is not as far away as all that from a multiple linear regression of temperature on 22-112 proxies over a calibration period of 79 years.
AR1 on First Differences « Climate Audit
-
The normal equation of linear regression is used to calculate effects of high frequency components on determination of secular trend of relative sea level (RSL).
-
We avoid the interfere of different elements with the multiple linear regression Gamma - ray detector.
-
We chose linear regression for describing the overall changes in mean sperm concentrations, but other statistical models have also been tested.
-
The sampling distribution and hypothesis testing of this non-linear generalized correlation coefficient will be studied with linear regression model .
-
On the basis of multiple linear regression analyses of the relationship of concentrations obtained with the konimeter, the thermal precipitator and the membrane filtre in four different asbestos manufacturing processes, it was established that no single conversion factor may be used for the interconversion of results obtained by different methods.
-
The main statistical methods were analysis of variance (ANOV A), multiple comparison, nonparametric test, t-test, linear regression and correlation and X2 test.
-
Respiratory symptoms were analysed by multiple logistic regression and lung function standard deviation scores by multiple linear regression.
-
Each patient had three measurements of bone mineral density and rates of bone loss were estimated by linear regression for each subject.
-
To investigate relations between sets of possible explanatory factors and each outcome variable a stepwise multiple linear regression analysis was used.
-
The data below are derived from comparing cross-bridge-bearing shelf positions to their unstrained positions predicted by linear regression of the whole set of myosin shelves.
-
Each patient had three measurements of bone mineral density and rates of bone loss were estimated by linear regression for each subject.
-
The shape of the nonlinear regression line indicates that chlorophyll synchrony between two lakes is very sensitive to differences in stratification intensity.
-
We avoid the interfere of different elements with the multiple linear regression gamma-ray detector.
-
Use of the undeformed area to calculate stress had the effect of flattening the curves, so linear regression coefficients were compared.
-
Linear regression between endurance and speed for individuals from the reed and the stonewort.
PLoS ONE Alerts: New Articles
