Sentences with phrase «multiple linear regression»

We conducted multiple linear regression analyses and mediation analysis.

Does measuring the size of these two components (and other factors) by multiple linear regression sound easily doable, and might it get us closer to saying we have a physical basis?

We conducted multiple linear regression analysis to predict depressive symptoms of middle - aged offspring.

Using multiple linear regression analyses, our results suggest that higher levels of childhood depressive symptoms and earlier menarche have independent effects on adolescent depressive symptoms.

«Using the most recently available characterizations of ENSO, volcanic aerosols, solar irradiance and anthropogenic influences, we perform multiple linear regression analyses to decompose 118 years (11 complete solar cycles) of monthly mean surface temperature anomalies into four components.

Multiple linear regression showed that the main factors that significantly determined the MMSE score at the end of the study were baseline MMSE score (partial r = 0.42, P < 0.001), rate of brain atrophy (partial r = − 0.36, P < 0.001) and age (partial r = − 0.20, P = 0.01); the adjusted R2 was 0.33.

To examine the relation between multiple measures of diabetes - specific family factors and control, we conducted a hierarchical multiple linear regression in SPSS 11.0 (SPSS, Inc., 2001).

While at university / college, students learning econometrics are introduced to more advanced topics such as multiple linear regression, statistical theory, econometric models, forecasting, etc..

A reduced multiple linear regression model was fit including both covariates.

However, the calculations mainly consisted of multiple linear regressions which is a standard technique, and so other packages are relatively easily available.

Regularized multiple linear regression links projected changes in monthly temperature and precipitation with projected changes in monthly streamflow over the Fraser and Peace River watersheds.

Dr. Leif Svalgaard sends word of this article in Geophysical Research letters by Petr Chylek, James D. Klett, Glen Lesins, Manvendra K. Dubey and Nicolas Hengartner Article first published online: 5 MAR 2014 DOI: 10.1002 / 2014GL059274 Abstract A multiple linear regression analysis...

Determined appropriate multiple linear regression model areas from analysis of surface hydrography, topography, and the location of monitoring wells

Separate multiple linear regression models were developed to examine the association between maternal and paternal variables and the adolescents» behavioral outcomes of weekly hours of MVPA and TV / video watching five years later.

An appraiser assessing comparables can evaluate the effect of many features — through multiple linear regression, simultaneously — on value.

According to a company release, it is «the industry's first implementation of directly integrated multiple linear regression modeling at no additional cost.»

; Given a set of vectors of observations containing no missing data,; a set of similar vectors from model simulations with changing forcing and a; control simulation, computes confidence intervals on undetermined model; parameters by multiple linear regression.

We conducted multiple linear regression analyses using externalizing symptoms as reported by children through the Dominic questionnaire and multiple child, family and socioeconomic characteristics.

Linear trends across the quintiles were examined using multiple linear regression.

Multiple linear regression analysis was applied to explore these possible differences.

Multiple linear regression analysis was used to examine relationships between tactile and taste perceptions and cognitive function after controlling for gender and number of teeth.

The dynamic response of a biological network can be quantitated using a variety of approaches, including reverse engineering (Basso et al, 2005), non ‐ linear differential equations coupled with multiple linear regression (Gardner et al, 2003), Bayesian analysis (Yu et al, 2004), and cellular automata (Wurthner et al, 2000).

Similarly, Schurer et al. (2013) uses multiple linear regression and finds that the sun is unlikely to have caused more than 0.15 °C of the observed approximately 1 °C warming over the past 300 years.

Foster and Rahmstorf (2011) used multiple linear regression to quantify and remove the effects of the El Niño Southern Oscillation (ENSO) and solar and volcanic activity from the surface and lower troposphere temperature data.

Like Foster and Rahmstorf, Lean and Rind (2008) performed a multiple linear regression on the temperature data, and found that while solar activity can account for about 11 % of the global warming from 1889 to 2006, it can only account for 1.6 % of the warming from 1955 to 2005, and had a slight cooling effect -LRB--0.004 °C per decade) from 1979 to 2005.

Like Foster and Rahmstorf, Lean and Rind (2008) performed a multiple linear regression on the temperature data, and found that although ENSO is responsible for approximately 12 % of the observed global warming from 1955 to 2005, it actually had a small net cooling effect from 1979 to 2005.

Note that this multiple linear regression technique it makes no assumptions about various solar effects.

Foster and Rahmstorf (2011) used a multiple linear regression approach to filter out the effects of volcanic and solar activity and ENSO.

The multiple linear regression indicates how well the returns of the given assets or a portfolio are explained by the Fama - French three - factor model based on market, size and value loading factors.