Sample size = 40 rime: Sum of raw scores = 21992.6 Mean = 549.815 Sum of squared raw scores = 48317719.9 Sum of squared deviations from the mean = 36225858.531 Sample variance = 928868.167461539 Standard deviation = 963.778069610187 onset: Sum of raw scores = 503337.4 Mean = 12583.435 Sum of squared raw scores = 27834645052.14 Sum of squared deviations from the mean = 21500931596.171 Sample variance = 551305938.363359 Standard deviation = 23479.9049905096 vowel: Sum of raw scores = 1955156.4 Mean = 48878.91 Sum of squared raw scores = 122780071919.32 Sum of squared deviations from the mean = 27214158207.796 Sample variance = 697798928.405026 Standard deviation = 26415.8840171028 coda: Sum of raw scores = 382495.2 Mean = 9562.38 Sum of squared raw scores = 9696750890.88 Sum of squared deviations from the mean = 6039186440.304 Sample variance = 154850934.366769 Standard deviation = 12443.9115380482 head: Sum of raw scores = 16360 Mean = 409 Sum of squared raw scores = 28508550 Sum of squared deviations from the mean = 21817310 Sample variance = 559418.205128205 Standard deviation = 747.942648288092 rating: Sum of raw scores = 167.229 Mean = 4.180725 Sum of squared raw scores = 728.703335 Sum of squared deviations from the mean = 29.564873975 Sample variance = 0.758073691666667 Standard deviation = 0.870674274150021 For `rime' -> `onset': Sum of products = 180346946.86 Sum of cross products deviations from the means = -96395505.721 Correlation = 0.109224182777772 For `rime' -> `vowel': Sum of products = 1434866671.94 Sum of cross products deviations from the means = 359892355.874 Correlation = 0.362464790786906 For `rime' -> `coda': Sum of products = 237696724.68 Sum of cross products deviations from the means = 27395126.292 Correlation = 0.0585699353788711 For `rime' -> `head': Sum of products = 7015798.07 Sum of cross products deviations from the means = -1979175.33 Correlation = 0.0704002699222946 For `rime' -> `rating': Sum of products = 100101.0291 Sum of cross products deviations from the means = 8156.016465 Correlation = 0.249218762048456 Sample covariance = 209.128627307692 Regression formula: Y = 4.05693772829555 + 0.000225143496820663X Regression sum of squares = 1.83627406705701 Residual sum of squares = 27.728599907943 Proportion of sum of squares of dependent due to... regression = 0.0621099913569649 residual = 0.937890008643035 Degrees of freedom of the regression = 1 Degrees of freedom of the residual = 38 Variance of estimate (Mean Square Residual) = 0.729699997577447 Standard error of estimate (standard deviation of residuals) = 0.854224793352105 F ratio = 2.51647810491066 (n.s.; cutoff at .05 is 4.10) Standard error of regression coefficient = 0.000141926283038718 Confidence interval of regression slope ... at .05 = -6.22353232939439e-05 .. 0.000512522316935271 at .01 = -0.000159631194597989 .. 0.000609918188239316 t ratio = 1.58634110610255 (38 df) For `onset' -> `vowel': Sum of products = 21014136511.76 Sum of cross products deviations from the means = -3588446962.474 Correlation = 0.148347571223079 For `onset' -> `coda': Sum of products = 7157676904.9 Sum of cross products deviations from the means = 2344573417.888 Correlation = 0.205752906758173 For `onset' -> `head': Sum of products = 393465479.28 Sum of cross products deviations from the means = 187600482.68 Correlation = 0.273907996594721 For `onset' -> `rating': Sum of products = 2123041.9853 Sum of cross products deviations from the means = 18726.733685 Correlation = 0.0234879643778799 Sample covariance = 480.172658589744 Regression formula: Y = 4.16976516623496 + 8.70973129756618e-07X Regression sum of squares = 0.016310481847743 Residual sum of squares = 29.5485634931523 Proportion of sum of squares of dependent due to... regression = 0.000551684470616554 residual = 0.999448315529384 Degrees of freedom of the regression = 1 Degrees of freedom of the residual = 38 Variance of estimate (Mean Square Residual) = 0.777593776135586 Standard error of estimate (standard deviation of residuals) = 0.881812778392095 F ratio = 0.0209755817861626 (n.s.; cutoff at .05 is 4.10) Standard error of regression coefficient = 6.01378294600143e-06 Confidence interval of regression slope ... at .05 = -1.13060092476073e-05 .. 1.30479555071206e-05 at .01 = -1.54329237085422e-05 .. 1.71748699680554e-05 t ratio = 0.144829492114565 (38 df) For `vowel' -> `coda': Sum of products = 14866226362.58 Sum of cross products deviations from the means = -3829722093.652 Correlation = 0.298731203838979 For `vowel' -> `head': Sum of products = 617608778.48 Sum of cross products deviations from the means = -182050189.12 Correlation = 0.23626156726185 For `vowel' -> `rating': Sum of products = 8333035.0723 Sum of cross products deviations from the means = 159063.83191 Correlation = 0.177331534403247 Sample covariance = 4078.5597925641 Regression formula: Y = 3.89503302067004 + 5.84489259948644e-06X Regression sum of squares = 0.929711013976717 Residual sum of squares = 28.6351629610233 Proportion of sum of squares of dependent due to... regression = 0.0314464730938099 residual = 0.96855352690619 Degrees of freedom of the regression = 1 Degrees of freedom of the residual = 38 Variance of estimate (Mean Square Residual) = 0.753556920026929 Standard error of estimate (standard deviation of residuals) = 0.868076563459081 F ratio = 1.23376348789086 (n.s.; cutoff at .05 is 4.10) Standard error of regression coefficient = 5.2621179506304e-06 Confidence interval of regression slope ... at .05 = -4.81008416435596e-06 .. 1.64998693633288e-05 at .01 = -8.42117403251302e-06 .. 2.01109592314859e-05 t ratio = 1.11074906612198 (38 df) For `coda' -> `head': Sum of products = 111313598.03 Sum of cross products deviations from the means = -45126938.77 Correlation = 0.124321446291063 For `coda' -> `rating': Sum of products = 1572582.8176 Sum of cross products deviations from the means = -26524.42742 Correlation = 0.0627724071444309 Sample covariance = -680.113523589744 Regression formula: Y = 4.22272348055356 + -4.39205308234611e-06X Regression sum of squares = 0.116496693207477 Residual sum of squares = 29.4483772817925 Proportion of sum of squares of dependent due to... regression = 0.00394037509870619 residual = 0.996059624901294 Degrees of freedom of the regression = 1 Degrees of freedom of the residual = 38 Variance of estimate (Mean Square Residual) = 0.774957296889277 Standard error of estimate (standard deviation of residuals) = 0.880316589011747 F ratio = 0.150326596930052 (n.s.; cutoff at .05 is 4.10) Standard error of regression coefficient = 1.13279068025706e-05 Confidence interval of regression slope ... at .05 = -2.73293161571698e-05 .. 1.85452099924776e-05 at .01 = -3.5103009157968e-05 .. 2.63189029932758e-05 t ratio = -0.387719740186196 (38 df) For `head' -> `rating': Sum of products = 80526.7167 Sum of cross products deviations from the means = 12130.0557 Correlation = 0.477610842957923 Sample covariance = 311.027069230769 Regression formula: Y = 3.95332791111507 + 0.000555983102408134X Regression sum of squares = 6.74410600046947 Residual sum of squares = 22.8207679745305 Proportion of sum of squares of dependent due to... regression = 0.228112117310978 residual = 0.771887882689023 Degrees of freedom of the regression = 1 Degrees of freedom of the residual = 38 Variance of estimate (Mean Square Residual) = 0.600546525645541 Standard error of estimate (standard deviation of residuals) = 0.774949369730398 F ratio = 11.2299475768677 (p < .01) Standard error of regression coefficient = 0.000165910062959195 Confidence interval of regression slope ... at .05 = 0.000220040829296207 .. 0.000891925375520061 at .01 = 0.000106186264841703 .. 0.00100577993997456 t ratio = 3.35111139427918 (38 df) (rime, onset) -> rating Regression formula: rating = 4.03020636379734 + 0.000230207477436025 rime + 1.90306637227236e-06 onset Standardized regression coefficient for ... rime = 0.249631391388009 onset = -0.00377782034215352 Regression sum of squares = 1.91321419347276 Residual sum of squares = 27.6516597815272 Squared multiple correlation = 0.0647124082142401 F ratio = 1.28001222562746 (n.s.; cutoff at .05 is 3.26) Variance of estimate = 0.747342156257493 Standard error of coefficient for ... rime = 0.000144496232317599 onset = 5.93112705972574e-06 t score of coefficient for ... (37 df) rime = 1.5931728720098 onset = 0.320860833549629 Confidence interval of regression slope for ... rime: at .05 = -6.27316840683128e-05 .. 0.000523146638940363 at .01 = -0.000162599091918313 .. 0.000623014046790363 onset: at .05 = -1.01211875462163e-05 .. 1.39273202907611e-05 at .01 = -1.42204382711894e-05 .. 1.80265710157342e-05 Increment in proportion of variance accounted for by... rime (over onset) = 0.0641607237436235 F ratio = 2.53819980010796 (n.s.; cutoff at .05 is 4.11) onset (over rime) = 0.00260241685727514 F ratio = 0.102951674506163 (n.s.; cutoff at .05 is 4.11) (rime, vowel) -> rating Regression formula: rating = 3.91361025377967 + 0.000192347046505669 rime + 3.30120812525933e-06 vowel Standardized regression coefficient for ... rime = 0.212915289540888 vowel = 0.100157238524475 Regression sum of squares = 2.09388849263053 Residual sum of squares = 27.4709854823695 Squared multiple correlation = 0.0708235216697058 F ratio = 1.41010365785842 (n.s.; cutoff at .05 is 3.26) Variance of estimate = 0.742459067091067 Standard error of coefficient for ... rime = 0.00015360741583881 vowel = 5.60433482442183e-06 t score of coefficient for ... (37 df) rime = 1.25219896093761 vowel = 0.589045485090178 Confidence interval of regression slope for ... rime: at .05 = -0.00011906334029089 .. 0.000503757433302227 at .01 = -0.000225227869291488 .. 0.000609921962302826 vowel: at .05 = -8.06053548510145e-06 .. 1.46629517356201e-05 at .01 = -1.19339263871445e-05 .. 1.85363426376632e-05 Increment in proportion of variance accounted for by... rime (over vowel) = 0.0393770485758959 F ratio = 1.56800223777323 (n.s.; cutoff at .05 is 4.11) vowel (over rime) = 0.00871353031274085 F ratio = 0.346974583505124 (n.s.; cutoff at .05 is 4.11) (rime, coda) -> rating Regression formula: rating = 4.10662192300069 + 0.000229251336959064 rime + -5.43198940335283e-06 coda Standardized regression coefficient for ... rime = 0.246387402762579 coda = 0.0483415128864587 Regression sum of squares = 2.01385808753683 Residual sum of squares = 27.5510158874632 Squared multiple correlation = 0.0681165794665569 F ratio = 1.35226863399924 (n.s.; cutoff at .05 is 3.26) Variance of estimate = 0.744622051012518 Standard error of coefficient for ... rime = 0.000143616650539153 coda = 1.11230763572445e-05 t score of coefficient for ... (37 df) rime = 1.59627268912364 coda = -0.488353152391601 Confidence interval of regression slope for ... rime: at .05 = -6.19046365373942e-05 .. 0.000520407310455522 at .01 = -0.000161164128521377 .. 0.000619666802439505 coda: at .05 = -2.79819521890818e-05 .. 1.71179733823762e-05 at .01 = -3.56695768786588e-05 .. 2.48055980719532e-05 Increment in proportion of variance accounted for by... rime (over coda) = 0.0641762043678507 F ratio = 2.54808649804202 (n.s.; cutoff at .05 is 4.11) coda (over rime) = 0.00600658810959199 F ratio = 0.238488801450812 (n.s.; cutoff at .05 is 4.11) (rime, head) -> rating Regression formula: rating = 3.80261213972405 + 0.000256791970207374 rime + 0.000579278198475272 head Standardized regression coefficient for ... rime = 0.216668682679273 head = 0.462357309213594 Regression sum of squares = 9.12107635039184 Residual sum of squares = 20.4437976246082 Squared multiple correlation = 0.308510577724925 F ratio = 8.25384381026826 (p < .01) Variance of estimate = 0.552535070935356 Standard error of coefficient for ... rime = 0.000123808220559935 head = 0.000159535825489076 t score of coefficient for ... (37 df) rime = 2.07411082273864 head = 3.63102266653539 Confidence interval of regression slope for ... rime: at .05 = 5.79389408830435e-06 .. 0.000507790046326444 at .01 = -7.97751609626617e-05 .. 0.00059335910137741 head: at .05 = 0.000255849066801087 .. 0.000902707330149457 at .01 = 0.000145587165191189 .. 0.00101296923175935 Increment in proportion of variance accounted for by... rime (over head) = 0.0803984604139472 F ratio = 4.30193570500156 (p < .05) head (over rime) = 0.24640058636796 F ratio = 13.1843256048938 (p < .01) (onset, vowel) -> rating Regression formula: rating = 3.85910667913075 + 1.88801944352395e-06 onset + 6.09384601503852e-06 vowel Standardized regression coefficient for ... onset = -0.00288216588211216 vowel = 0.17775909671172 Regression sum of squares = 1.00466693553249 Residual sum of squares = 28.5602070394675 Squared multiple correlation = 0.0339817763600829 F ratio = 0.650777435950181 (n.s.; cutoff at .05 is 3.26) Variance of estimate = 0.771897487553176 Standard error of coefficient for ... onset = 6.05875375893221e-06 vowel = 5.38535687575388e-06 t score of coefficient for ... (37 df) onset = 0.311618448057987 vowel = 1.13155843811845 Confidence interval of regression slope for ... onset: at .05 = -1.03949738043677e-05 .. 1.41710126914156e-05 at .01 = -1.45824326951717e-05 .. 1.83584715822196e-05 vowel: at .05 = -4.82396064525886e-06 .. 1.70116526753359e-05 at .01 = -8.54600670073383e-06 .. 2.07336987308109e-05 Increment in proportion of variance accounted for by... onset (over vowel) = 0.00253530326627306 F ratio = 0.0971060571700659 (n.s.; cutoff at .05 is 4.11) vowel (over onset) = 0.0334300918894664 F ratio = 1.28042449887707 (n.s.; cutoff at .05 is 4.11) (onset, coda) -> rating Regression formula: rating = 4.21021901604268 + 1.40957892166963e-06 onset + -4.93928925444142e-06 coda Standardized regression coefficient for ... onset = 0.0110397173952213 coda = 0.0605009532005753 Regression sum of squares = 0.157408628409914 Residual sum of squares = 29.4074653465901 Squared multiple correlation = 0.00532417721594276 F ratio = 0.0990245024949446 (n.s.; cutoff at .05 is 3.26) Variance of estimate = 0.794796360718651 Standard error of coefficient for ... onset = 6.21287077178512e-06 coda = 1.17228103875375e-05 t score of coefficient for ... (37 df) onset = 0.226880450832976 coda = -0.421340027788249 Confidence interval of regression slope for ... onset: at .05 = -1.11858578259214e-05 .. 1.40050156692607e-05 at .01 = -1.54798334496003e-05 .. 1.82989912929395e-05 coda: at .05 = -2.87051009321574e-05 .. 1.88265224232746e-05 at .01 = -3.68072269692377e-05 .. 2.69286484603549e-05 Increment in proportion of variance accounted for by... onset (over coda) = 0.00138380211723656 F ratio = 0.0514747389701744 (n.s.; cutoff at .05 is 4.11) coda (over onset) = 0.0047724927453262 F ratio = 0.177527419016603 (n.s.; cutoff at .05 is 4.11) (onset, head) -> rating Regression formula: rating = 3.99234076202516 + -4.30293522584184e-06 onset + 0.000592982747428931 head Standardized regression coefficient for ... onset = -0.116039388417344 head = 0.509394959365394 Regression sum of squares = 7.11233383341382 Residual sum of squares = 22.4525401415862 Squared multiple correlation = 0.240567026919445 F ratio = 5.86028017713903 (p < .01) Variance of estimate = 0.606825409232059 Standard error of coefficient for ... onset = 5.52380553863982e-06 head = 0.000173406917669651 t score of coefficient for ... (37 df) onset = -0.778980214951845 head = 3.41960260523513 Confidence interval of regression slope for ... onset: at .05 = -1.55014207285333e-05 .. 6.89555027684958e-06 at .01 = -1.93191544629252e-05 .. 1.07132840112415e-05 head: at .05 = 0.000241432563410658 .. 0.000944532931447205 at .01 = 0.000121583768094926 .. 0.00106438172676294 Increment in proportion of variance accounted for by... onset (over head) = 0.0124549096084675 F ratio = 0.606810175286416 (n.s.; cutoff at .05 is 4.11) head (over onset) = 0.240015342448828 F ratio = 11.6936819777309 (p < .01) (vowel, coda) -> rating Regression formula: rating = 3.9074083022656 + 5.73896665799546e-06 vowel + -7.52713972333299e-07 coda Standardized regression coefficient for ... vowel = 0.174117786773503 coda = 0.0107579910918035 Regression sum of squares = 0.93282733495166 Residual sum of squares = 28.6320466400484 Squared multiple correlation = 0.0315518792923135 F ratio = 0.60272693438783 (n.s.; cutoff at .05 is 3.26) Variance of estimate = 0.773839098379685 Standard error of coefficient for ... vowel = 5.58760872411651e-06 coda = 1.18613527216029e-05 t score of coefficient for ... (37 df) vowel = 1.02708814116237 coda = -0.0634593701072893 Confidence interval of regression slope for ... vowel: at .05 = -5.58886790352655e-06 .. 1.70668012195175e-05 at .01 = -9.45069869597966e-06 .. 2.09286320119706e-05 coda: at .05 = -2.47993943932894e-05 .. 2.32939664486228e-05 at .01 = -3.29972728493683e-05 .. 3.14918449047017e-05 Increment in proportion of variance accounted for by... vowel (over coda) = 0.0276115041936073 F ratio = 1.05491004971637 (n.s.; cutoff at .05 is 4.11) coda (over vowel) = 0.000105406198503591 F ratio = 0.00402709165441195 (n.s.; cutoff at .05 is 4.11) (vowel, head) -> rating Regression formula: rating = 3.42363399785782 + 1.01295926652679e-05 vowel + 0.000640507466796804 head Standardized regression coefficient for ... vowel = 0.0683030946185744 head = 0.461473446774504 Regression sum of squares = 9.38064307353608 Residual sum of squares = 20.1842309014639 Squared multiple correlation = 0.317290142398995 F ratio = 8.59789494618944 (p < .01) Variance of estimate = 0.54551975409362 Standard error of coefficient for ... vowel = 4.60765847632682e-06 head = 0.000162733562766684 t score of coefficient for ... (37 df) vowel = 2.19842523427281 head = 3.93592726606202 Confidence interval of regression slope for ... vowel: at .05 = 7.88424463824518e-07 .. 1.94707608667113e-05 at .01 = -2.3961216029368e-06 .. 2.26553069334726e-05 head: at .05 = 0.00031059551919179 .. 0.000970419414401819 at .01 = 0.000198123527202525 .. 0.00108289140639108 Increment in proportion of variance accounted for by... vowel (over head) = 0.089178025088017 F ratio = 4.83307351068746 (p < .05) head (over vowel) = 0.285843669305185 F ratio = 15.4915234437304 (p < .01) (coda, head) -> rating Regression formula: rating = 3.95583923626943 + -2.41279716420431e-07 coda + 0.000555484039279391 head Standardized regression coefficient for ... coda = 0.00344843477773858 head = 0.477182128558914 Regression sum of squares = 6.74445214324611 Residual sum of squares = 22.8204218317539 Squared multiple correlation = 0.228123825217358 F ratio = 5.46757485772836 (p < .01) Variance of estimate = 0.61676815761497 Standard error of coefficient for ... coda = 1.01848385549662e-05 head = 0.000169450465617097 t score of coefficient for ... (37 df) coda = -0.0236900874882088 head = 3.278149972952 Confidence interval of regression slope for ... coda: at .05 = -2.08891403456935e-05 .. 2.04065809128526e-05 at .01 = -2.79283095305313e-05 .. 2.74457500976905e-05 head: at .05 = 0.00021195482389274 .. 0.000899013254666042 at .01 = 9.48404985658373e-05 .. 0.00101612757999294 Increment in proportion of variance accounted for by... coda (over head) = 1.17079063801095e-05 F ratio = 0.000561220245185102 (n.s.; cutoff at .05 is 4.11) head (over coda) = 0.224183450118651 F ratio = 10.7462672451652 (p < .01)