Sentences with phrase «regression model shows»

The second regression model shows that adding professional community to the simple instruction - achievement model barely raises the percentage of variance explained.

The logistic regression models showed that, in normal - weight women, breastfeeding was protective against retaining ≥ 5 kg: the odds ratio (OR) was 0.68 (95 % CI: 0.64, 0.71) per 10 breastfeeding points.

Inspection of the explained variance by the R2 of the three regression models showed that this goodness - of - fit measure (the extent to which observed outcomes are replicated by the regression model) was generally low.

Not exact matches

Figure 2 shows the distribution of infant weight for age by breastfeeding medication group, predicted by the regression model after adjustment for birth weight and gender.

By using logistic regression, Inoue's team designed a model to show the best way to design chiral crystals.

Once each tissue model is fitted on the training set with 3 - repeat -5-fold cross validation, we calculate the p - value of the F - test (Supplementary Fig. 28), R2 and slope (not shown) for the regression of the predicted tissue PMI in the test set versus the real tissue PMI.

The regression coefficients of dietary total fiber and soluble and insoluble fiber for predicting log CRP from a linear mixed model are shown in Table 3.

The relationship between an athlete personal best in competition and back squat, bench press and power clean 1RM was determined via general linear model polynomial contrast analysis and regression for a group of 53 collegiate elite level throwers (24 males and 29 females); data analysis showed significant linear and quadratic trends for distance and 1RM power clean for both male (linear: p ≤ 0.001, quadratic: p ≤ 0.003) and female (linear: p ≤ 0.001, quadratic: p = 0.001) suggesting how the use of Olympic - style weightlifting movements — the clean, in this particular case, but more in general explosive, fast, athletic - like movements — can be a much better alternative for sport - specific testing for shot putters (Judge, et al, 2013).

The multiple linear regression shows how well the returns of the given assets or a portfolio are explained by market, size, value and momentum factors, and the Fama - French five - factor model extends the three - factor model with profitability (RMW) and investment (CMA) factors.

What this model shows is that if orbital variations in insolation impact ice sheets directly in any significant way (which evidence suggests they do Roe (2006)-RRB-, then the regression between CO2 and temperature over the glacial - interglacial cycles (which was used in Snyder (2016)-RRB- is a very biased (over) estimate of ESS.

Figure 2 (a) shows the regression reconstructed temperature for 2014 plotted as a function of model temperatures in the preceding decade (2005 - 2014).

A suggestive way of putting it, because for any software engineer worth his salt what Steve has shown beyond doubt is that climate science, not least its authoritative expressions in IPCC reports, has been atrocious in regression testing of its central general circulation and other models, taking that important term in its broadest and most important sense.

On the same scale is shown the regression of simulated NEE, GPP and TER changes in 2003 vs. 2002 for all the model grid points over Europe, defined here as the area bounded by 10 ° W and 37 ° E in longitude and by 36 ° N and 69 ° N in latitude.

Runoff from thinned forests was approximately 20 % greater than unthinned forests (as estimated using original Baker - Kovner regression model) in both droughts and pluvials (data not shown).

On the contrary, the authors stated that to show the robustness of the main conclusion of the paper — a relatively small equilibrium climate sensitivity — they deliberately adopted the regression model that gave the highest climate sensitivity.

McKitrick and Michaels show «Using the regression model to filter the extraneous, nonclimatic effects reduces the estimated 1980 — 2002 global average temperature trend over land by about half.»

In step 1, age, sex, and variables that were shown to be statistically significant in simple regression analyses were simultaneously entered into the model as potential confounders.

Regression modeling for the 4 most common disciplinary practices showed (P <.05) that black race, lack of Aid to Families With Dependent Children receipt, more - educated mothers, and female sex of child were associated with higher use of teaching or verbal assertion; a biological father in the home was associated with less use of limit setting; and black race and report for child maltreatment were associated with more use of mild spanking.

The results showed that factor of self - blame, problem - solving, fantasy, rationalization factors entered into the regression model, a significant role in the prediction of critical situational capacity, with a total explained variance of 21.6 % of the variance.

Bivariate OLS regression coefficients (b) are shown for each a path, and odds ratios (OR) based on multiple and bivariate LR models respectively are shown for b and c paths.

As shown in block 3, positive coping as measured by the TCSQ was negatively associated with PTSD symptoms (β = − 0.327, p = 0.002), whereas «negative coping was positively associated with PTSD symptoms in the regression model (β = 0.353, p = 0.001).

Table 3 shows the full specification results of the linear regression models predicting reading and math ability at kindergarten entry.

RESULTS: The hierarchical regression model for job stress explained 26.8 % of... the variance among those with a low monthly income (β = − 0.151, p = 0.021), an irregular diet (β = 0.165, p = 0.014), and high daily work hours (β = 0.380, p = 0.000), showing that these respondents were more likely to report high job stress levels.

The models shown in Tables B. 1 and B. 2 include only those variables found to be significant after the forced entry regression models taking into account the complex survey design.

Lastly, a regression test showed that perceived intention of the ex-partner to harm one's public identity and perceived harm to one's public identity remained significant predictors, while the interaction was no longer a significant predictor of felt anger, F (5, 200) = 21.04, p <.001, R2 =.35 (Model 4).

Subsequent regressions showed the interaction significantly predicted perceived intent to harm, F (3, 202) = 19.62, p <.001, R2 =.23 (Model 2), and perception of harm to one's public identity, F (3, 202) = 15.71, p <.001, R2 =.19 (Model 3).

The predictors that were moderately associated (crude associations) with AD (p < 0.25) in step one and, as recommended [86], those that have previously shown to be associated with AD in other studies were selected and included in the multivariable logistic regression model.

Variables were entered into the regression model hierarchically as shown in Table II with control variables entered first, 12 - month temperament, 36 - month externalizing or internalizing behavior, current family conflict, and finally, the interaction of conflict and temperament.

Gender stratification was done a priori because of knowledge from other research showing differences in health outcomes for men and women (eg, BMI, fruit and vegetable intake, physical activity).4, 7,26,27 All regression models were adjusted for age, race and ethnicity, and SES.

In Tables III and IV, the R - square change associated with each successive model (i.e., with each of the blocks of variables when entered) in the regressions is shown.

Multiple regression and structural equation modelling showed that partners in interethnic relationships defined personal commitment in different ways with men emphasizing love and dyadic adjustment, and women emphasizing love and acculturation to their partner.

Tracts showing significant associations between callous — unemotional traits and FA, AD, RD and MD in simple regression models

The right edge of Chart 4 shows the most current prediction from the regression model.