<p>Estimate intercept (.58) is the detection rate for 0 confidence, 0 agreement level, females and opposition voters.</p
<p>Final results of the regression analysis, displaying linear model predictors (in order of entry i...
Multiple linear regression equations, together with the Spearman correlation coefficient and P-value...
<p>Predicted visual detectability and 95% confidence band, using model-averaged coefficients from ca...
<p>*; women: 0 and men: 1</p><p>Multiple linear regression analysis on the plasma MSTN level.</p
<p>Each candidate is the unit of analysis (Standardized Beta Coefficients * <i><0.05</i>; ** <i>0.00...
<p>Each candidate is the unit of analysis (Standardized Beta Coefficients * <i><0.05</i>; ** <i>0.00...
<p>Predictors of ambivalence: Multiple linear regression analysis (<i>N</i> = 263).</p
Results of multiple linear regression for predicting number of non-doubt answers.</p
<p>* p<0.05</p><p>** p<0.01</p><p>*** p<0.001.</p><p>Logistic regression analysis results for the Fe...
Regression model, uncertain non-sample prior information, maximum likelihood, restricted, preliminar...
<p>Multiple linear regression analysis of the MMFA scores at 80%, 25%, 10%, and 5% contrast levels f...
<p><sup>a</sup>p-value< 0.01</p><p>Estimates of parameters in the linear regression models.</p
Multiple linear regression was used to determine the ratio of similar materials.</p
Results for Passing–Bablok regression (slope, intercept) and Bland–Altman plot analysis (percentage ...
Predictors of PCS and MCS estimated by multiple imputation of multivariable linear regression analys...
<p>Final results of the regression analysis, displaying linear model predictors (in order of entry i...
Multiple linear regression equations, together with the Spearman correlation coefficient and P-value...
<p>Predicted visual detectability and 95% confidence band, using model-averaged coefficients from ca...
<p>*; women: 0 and men: 1</p><p>Multiple linear regression analysis on the plasma MSTN level.</p
<p>Each candidate is the unit of analysis (Standardized Beta Coefficients * <i><0.05</i>; ** <i>0.00...
<p>Each candidate is the unit of analysis (Standardized Beta Coefficients * <i><0.05</i>; ** <i>0.00...
<p>Predictors of ambivalence: Multiple linear regression analysis (<i>N</i> = 263).</p
Results of multiple linear regression for predicting number of non-doubt answers.</p
<p>* p<0.05</p><p>** p<0.01</p><p>*** p<0.001.</p><p>Logistic regression analysis results for the Fe...
Regression model, uncertain non-sample prior information, maximum likelihood, restricted, preliminar...
<p>Multiple linear regression analysis of the MMFA scores at 80%, 25%, 10%, and 5% contrast levels f...
<p><sup>a</sup>p-value< 0.01</p><p>Estimates of parameters in the linear regression models.</p
Multiple linear regression was used to determine the ratio of similar materials.</p
Results for Passing–Bablok regression (slope, intercept) and Bland–Altman plot analysis (percentage ...
Predictors of PCS and MCS estimated by multiple imputation of multivariable linear regression analys...
<p>Final results of the regression analysis, displaying linear model predictors (in order of entry i...
Multiple linear regression equations, together with the Spearman correlation coefficient and P-value...
<p>Predicted visual detectability and 95% confidence band, using model-averaged coefficients from ca...