{"id":37295,"date":"2021-01-01T10:23:17","date_gmt":"2021-01-01T10:23:17","guid":{"rendered":"https:\/\/revista-apunts.com\/?post_type=tablas&#038;p=37295"},"modified":"2021-01-01T10:23:40","modified_gmt":"2021-01-01T10:23:40","slug":"table-4-143-06","status":"publish","type":"tablas","link":"https:\/\/revista-apunts.com\/en\/tablas\/table-4-143-06\/","title":{"rendered":"Table 4 &#8211; 143.06"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Table 4<\/h2>\n\n\n\n<p><em>Results of the simple linear regression analysis that accounts for %SHRZ (IL) according to exercise specificity (EL).<\/em><\/p>\n\n\n\n<table class=\"wp-block-advgb-table advgb-table-frontend\"><tbody><tr><td style=\"border-top-color:#000;border-style:solid;border-width:1px;border-bottom-color:#000\" colspan=\"6\">Regression model summary<\/td><\/tr><tr><td style=\"border-width:1px;border-style:solid;border-bottom-color:#000\" colspan=\"2\">Model<\/td><td style=\"border-bottom-color:#000;text-align:center\">R<\/td><td style=\"border-bottom-color:#000;text-align:center\">R\u00b2<\/td><td style=\"border-width:1px;border-style:solid;padding-right:3px;padding-left:3px;border-bottom-color:#000;text-align:center\">Adjusted R\u00b2<\/td><td style=\"border-width:1px;border-style:solid;padding-right:3px;padding-left:3px;border-bottom-color:#000;text-align:center\">RMSE<\/td><\/tr><tr><td style=\"border-bottom-color:#000;border-width:1px;border-style:solid\" colspan=\"2\">1<\/td><td style=\"text-align:center;border-bottom-color:#000;border-style:solid;border-width:1px\">.77<\/td><td style=\"text-align:center;border-bottom-color:#000;border-style:solid;border-width:1px\">.59<\/td><td style=\"border-bottom-color:#000;border-width:1px;border-style:solid;padding-right:3px;padding-left:3px;text-align:center\">.51<\/td><td style=\"border-bottom-color:#000;border-width:1px;border-style:solid;padding-right:3px;padding-left:3px;text-align:center\">8.89<\/td><\/tr><tr><td style=\"border-top-color:#000;border-right-color:#000;border-bottom-color:#000;border-left-color:#000;border-width:0;border-style:none\" colspan=\"6\">Predictive variable: specificity of the exercise<br>Dependent variable: %SHRZ<\/td><\/tr><tr><td style=\"border-top-color:#000;border-right-color:#000;border-bottom-color:#000;border-left-color:#000;border-width:0;border-style:none\"><\/td><td><\/td><td style=\"text-align:center\"><\/td><td style=\"text-align:center\"><\/td><td style=\"border-top-color:#000;border-right-color:#000;border-bottom-color:#000;border-left-color:#000;border-width:0;border-style:none;padding-right:3px;padding-left:3px;text-align:center\"><\/td><td style=\"border-top-color:#000;border-right-color:#000;border-bottom-color:#000;border-left-color:#000;border-width:0;border-style:none;padding-right:3px;padding-left:3px;text-align:center\"><\/td><\/tr><tr><td style=\"border-top-color:#000;border-bottom-color:#000;border-width:1px;border-style:solid\" colspan=\"6\">ANOVA of the equation<\/td><\/tr><tr><td style=\"border-bottom-color:#000;border-width:1px;border-style:solid\">Model<\/td><td style=\"border-bottom-color:#000;border-style:solid;border-width:1px;text-align:center\">Sum of squares<\/td><td style=\"text-align:center;border-bottom-color:#000;border-style:solid;border-width:1px\">df<\/td><td style=\"text-align:center;border-bottom-color:#000;border-style:solid;border-width:1px\">Mean squares<\/td><td style=\"border-bottom-color:#000;border-width:1px;border-style:solid;padding-right:3px;padding-left:3px;text-align:center\">F<\/td><td style=\"border-bottom-color:#000;border-width:1px;border-style:solid;padding-right:3px;padding-left:3px;text-align:center\">p<\/td><\/tr><tr><td style=\"border-top-color:#000;border-right-color:#000;border-bottom-color:#000;border-left-color:#000;border-width:0;border-style:none\">1 Regression<\/td><td style=\"text-align:center\">593.3<\/td><td style=\"text-align:center\">1<\/td><td style=\"text-align:center\">593.31<\/td><td style=\"border-top-color:#000;border-right-color:#000;border-bottom-color:#000;border-left-color:#000;border-width:0;border-style:none;padding-right:3px;padding-left:3px;text-align:center\">7.35<\/td><td style=\"border-top-color:#000;border-right-color:#000;border-bottom-color:#000;border-left-color:#000;border-width:0;border-style:none;padding-right:3px;padding-left:3px;text-align:center\">.04<\/td><\/tr><tr><td style=\"border-top-color:#000;border-right-color:#000;border-bottom-color:#000;border-left-color:#000;border-width:0;border-style:none\">Residual<\/td><td style=\"text-align:center\">403.4<\/td><td style=\"text-align:center\">5<\/td><td style=\"text-align:center\">80.68<\/td><td style=\"border-top-color:#000;border-right-color:#000;border-bottom-color:#000;border-left-color:#000;border-width:0;border-style:none;padding-right:3px;padding-left:3px;text-align:center\"><\/td><td style=\"border-top-color:#000;border-right-color:#000;border-bottom-color:#000;border-left-color:#000;border-width:0;border-style:none;padding-right:3px;padding-left:3px;text-align:center\"><\/td><\/tr><tr><td style=\"border-bottom-color:#000;border-width:1px;border-style:solid\">Total<\/td><td style=\"border-bottom-color:#000;border-style:solid;border-width:1px;text-align:center\">996.7<\/td><td style=\"text-align:center;border-bottom-color:#000;border-style:solid;border-width:1px\">6<\/td><td style=\"text-align:center;border-bottom-color:#000;border-style:solid;border-width:1px\"><\/td><td style=\"border-bottom-color:#000;border-width:1px;border-style:solid;padding-right:3px;padding-left:3px;text-align:center\"><\/td><td style=\"border-bottom-color:#000;border-width:1px;border-style:solid;padding-right:3px;padding-left:3px;text-align:center\"><\/td><\/tr><tr><td style=\"border-top-color:#000;border-right-color:#000;border-bottom-color:#000;border-left-color:#000;border-width:0;border-style:none\"><\/td><td><\/td><td style=\"text-align:center\"><\/td><td style=\"text-align:center\"><\/td><td style=\"border-top-color:#000;border-right-color:#000;border-bottom-color:#000;border-left-color:#000;border-width:0;border-style:none;padding-right:3px;padding-left:3px;text-align:center\"><\/td><td style=\"border-top-color:#000;border-right-color:#000;border-bottom-color:#000;border-left-color:#000;border-width:0;border-style:none;padding-right:3px;padding-left:3px;text-align:center\"><\/td><\/tr><tr><td style=\"border-top-color:#000;border-bottom-color:#000;border-width:1px;border-style:solid\" colspan=\"6\">Coefficients of the equation<\/td><\/tr><tr><td style=\"border-bottom-color:#000;border-width:1px;border-style:solid\">Model<\/td><td style=\"text-align:center;border-bottom-color:#000;border-style:solid;border-width:1px\">Non-standardised<\/td><td style=\"text-align:center;border-bottom-color:#000;border-style:solid;border-width:1px\">Standard Error<\/td><td style=\"text-align:center;border-bottom-color:#000;border-style:solid;border-width:1px\">Standardised<\/td><td style=\"border-bottom-color:#000;border-width:1px;border-style:solid;padding-right:3px;padding-left:3px;text-align:center\">t<\/td><td style=\"border-bottom-color:#000;border-width:1px;border-style:solid;padding-right:3px;padding-left:3px;text-align:center\">p<\/td><\/tr><tr><td style=\"border-top-color:#000;border-right-color:#000;border-bottom-color:#000;border-left-color:#000;border-width:0;border-style:none\">1 (Intercept)<\/td><td style=\"text-align:center\">40.30<\/td><td style=\"text-align:center\">7.59<\/td><td style=\"text-align:center\"><\/td><td style=\"border-top-color:#000;border-right-color:#000;border-bottom-color:#000;border-left-color:#000;border-width:0;border-style:none;padding-right:3px;padding-left:3px;text-align:center\">5.30<\/td><td style=\"border-top-color:#000;border-right-color:#000;border-bottom-color:#000;border-left-color:#000;border-width:0;border-style:none;padding-right:3px;padding-left:3px;text-align:center\">.003<\/td><\/tr><tr><td style=\"border-bottom-color:#000;border-width:1px;border-style:solid\">Specificity of the<br>exercise<\/td><td style=\"text-align:center;border-bottom-color:#000\">4.60<\/td><td style=\"text-align:center;border-bottom-color:#000\">1.69<\/td><td style=\"text-align:center;border-bottom-color:#000\">.77<\/td><td style=\"border-bottom-color:#000;border-width:1px;border-style:solid;padding-right:3px;padding-left:3px;text-align:center\">2.71<\/td><td style=\"border-bottom-color:#000;border-width:1px;border-style:solid;padding-right:3px;padding-left:3px;text-align:center\">.04<\/td><\/tr><\/tbody><\/table>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-background no-border-radius\" href=\"https:\/\/revista-apunts.com\/en\/heart-rate-variability-and-accelerometry-workload-control-management-in-mens-basketball\/#volver1430604\" style=\"background-color:#3B70E8\">Back to 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