Sample size = 40 rime: Sum of raw scores = 186.188 Mean = 4.6547 Sum of squared raw scores = 1093.013156 Sum of squared deviations from the mean = 226.3638724 Sample variance = 5.80420185641026 Standard deviation = 2.40919112077275 onset: Sum of raw scores = 325.32 Mean = 8.133 Sum of squared raw scores = 2789.843304 Sum of squared deviations from the mean = 144.015744 Sample variance = 3.69271138461538 Standard deviation = 1.92164288685889 vowel: Sum of raw scores = 424.492 Mean = 10.6123 Sum of squared raw scores = 4522.369796 Sum of squared deviations from the mean = 17.5333444 Sample variance = 0.449572933333333 Standard deviation = 0.670502000991297 coda: Sum of raw scores = 331.952 Mean = 8.2988 Sum of squared raw scores = 2835.921592 Sum of squared deviations from the mean = 81.1183344 Sample variance = 2.07995729230769 Standard deviation = 1.44220570388128 head: Sum of raw scores = 159.602 Mean = 3.99005 Sum of squared raw scores = 924.13453 Sum of squared deviations from the mean = 287.3145699 Sample variance = 7.36704025384615 Standard deviation = 2.71422921910552 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 = 1499.544354 Sum of cross products deviations from the means = -14.72265 Correlation = 0.0815412649154431 For `rime' -> `vowel': Sum of products = 1995.896278 Sum of cross products deviations from the means = 20.0133656 Correlation = 0.31767584213323 For `rime' -> `coda': Sum of products = 1541.019382 Sum of cross products deviations from the means = -4.11759239999999 Correlation = 0.0303864723036196 For `rime' -> `head': Sum of products = 727.575593 Sum of cross products deviations from the means = -15.3238364 Correlation = 0.0600876368697959 For `rime' -> `rating': Sum of products = 805.374653 Sum of cross products deviations from the means = 26.9738267 Correlation = 0.329724326251348 Sample covariance = 0.691636582051282 Regression formula: Y = 3.62606462151599 + 0.119161359160421X Regression sum of squares = 3.21423785132964 Residual sum of squares = 26.3506361236704 Proportion of sum of squares of dependent due to... regression = 0.108718131321906 residual = 0.891281868678094 Degrees of freedom of the regression = 1 Degrees of freedom of the residual = 38 Variance of estimate (Mean Square Residual) = 0.693437792728167 Standard error of estimate (standard deviation of residuals) = 0.832729123261681 F ratio = 4.6352216233903 (p < .05) Standard error of regression coefficient = 0.0553477787535809 Confidence interval of regression slope ... at .05 = 0.00709064883378389 .. 0.231232069487057 at .01 = -0.0308913585931136 .. 0.269214076913955 t ratio = 2.15295648432343 (38 df) For `onset' -> `vowel': Sum of products = 3443.229042 Sum of cross products deviations from the means = -9.16439399999999 Correlation = 0.182375453300621 For `onset' -> `coda': Sum of products = 2706.802996 Sum of cross products deviations from the means = 7.03738000000001 Correlation = 0.0651098213731568 For `onset' -> `head': Sum of products = 1380.305868 Sum of cross products deviations from the means = 82.262802 Correlation = 0.404407952350991 For `onset' -> `rating': Sum of products = 1373.725152 Sum of cross products deviations from the means = 13.651695 Correlation = 0.209215364161926 Sample covariance = 0.350043461538462 Regression formula: Y = 3.40977293357176 + 0.094793073457302X Regression sum of squares = 1.29408612695168 Residual sum of squares = 28.2707878480483 Proportion of sum of squares of dependent due to... regression = 0.0437710686014072 residual = 0.956228931398593 Degrees of freedom of the regression = 1 Degrees of freedom of the residual = 38 Variance of estimate (Mean Square Residual) = 0.74396810126443 Standard error of estimate (standard deviation of residuals) = 0.8625358550602 F ratio = 1.73943765163088 (n.s.; cutoff at .05 is 4.10) Standard error of regression coefficient = 0.0718740589138526 Confidence interval of regression slope ... at .05 = -0.0507408037448224 .. 0.240326950659426 at .01 = -0.100063849781075 .. 0.289649996695679 t ratio = 1.31887742100275 (38 df) For `vowel' -> `coda': Sum of products = 3507.36917 Sum of cross products deviations from the means = -15.4050396 Correlation = 0.408480119871485 For `vowel' -> `head': Sum of products = 1678.41185 Sum of cross products deviations from the means = -15.3324546 Correlation = 0.216023242571446 For `vowel' -> `rating': Sum of products = 1776.247695 Sum of cross products deviations from the means = 1.56337829999999 Correlation = 0.0686663055582162 Sample covariance = 0.0400866230769229 Regression formula: Y = 3.23446858966622 + 0.0891660064579575X Regression sum of squares = 0.13940019959403 Residual sum of squares = 29.425473775406 Proportion of sum of squares of dependent due to... regression = 0.00471506151901431 residual = 0.995284938480986 Degrees of freedom of the regression = 1 Degrees of freedom of the residual = 38 Variance of estimate (Mean Square Residual) = 0.774354573036999 Standard error of estimate (standard deviation of residuals) = 0.879974188847036 F ratio = 0.180021148512504 (n.s.; cutoff at .05 is 4.10) Standard error of regression coefficient = 0.210153947412357 Confidence interval of regression slope ... at .05 = -0.336363304651491 .. 0.514695317567406 at .01 = -0.480579910469507 .. 0.658911923385422 t ratio = 0.424288991740893 (38 df) For `coda' -> `head': Sum of products = 1298.989498 Sum of cross products deviations from the means = -25.5155796 Correlation = 0.167134882623717 For `coda' -> `rating': Sum of products = 1381.217833 Sum of cross products deviations from the means = -6.5821922 Correlation = 0.134407353895008 Sample covariance = -0.168774158974359 Regression formula: Y = 4.85411526415414 + -0.0811430886578954X Regression sum of squares = 0.534099405247908 Residual sum of squares = 29.0307745697521 Proportion of sum of squares of dependent due to... regression = 0.0180653367810579 residual = 0.981934663218942 Degrees of freedom of the regression = 1 Degrees of freedom of the residual = 38 Variance of estimate (Mean Square Residual) = 0.763967751835581 Standard error of estimate (standard deviation of residuals) = 0.874052488032373 F ratio = 0.699112500448652 (n.s.; cutoff at .05 is 4.10) Standard error of regression coefficient = 0.0970460807780083 Confidence interval of regression slope ... at .05 = -0.277646425415631 .. 0.11536024809984 at .01 = -0.344243586925444 .. 0.181957409609653 t ratio = -0.836129475887946 (38 df) For `head' -> `rating': Sum of products = 719.026748 Sum of cross products deviations from the means = 51.77467655 Correlation = 0.561759665384368 Sample covariance = 1.32755580897436 Regression formula: Y = 3.46170978180125 + 0.180202057166889X Regression sum of squares = 9.32990322346029 Residual sum of squares = 20.2349707515397 Proportion of sum of squares of dependent due to... regression = 0.315573921652757 residual = 0.684426078347242 Degrees of freedom of the regression = 1 Degrees of freedom of the residual = 38 Variance of estimate (Mean Square Residual) = 0.532499230303676 Standard error of estimate (standard deviation of residuals) = 0.7297254485789 F ratio = 17.5209703460784 (p < .01) Standard error of regression coefficient = 0.0430507445881952 Confidence interval of regression slope ... at .05 = 0.093030943262386 .. 0.267373171071392 at .01 = 0.0634876853845528 .. 0.296916428949226 t ratio = 4.18580581800905 (38 df) (rime, onset) -> rating Regression formula: rating = 2.71761206506579 + 0.126165549043351 rime + 0.107690907881732 onset Standardized regression coefficient for ... rime = 0.314757456182827 onset = 0.183549643043211 Regression sum of squares = 4.87333108408019 Residual sum of squares = 24.6915428909198 Squared multiple correlation = 0.164835171907077 F ratio = 3.65131597704404 (p < .05) Variance of estimate = 0.667338997051887 Standard error of coefficient for ... rime = 0.0544776447437856 onset = 0.06829940094222 t score of coefficient for ... (37 df) rime = 2.31591416326314 onset = 1.57674747356622 Confidence interval of regression slope for ... rime: at .05 = 0.0157222847726322 .. 0.236608813314069 at .01 = -0.0219295008765387 .. 0.27426059896324 onset: at .05 = -0.0307733892307791 .. 0.246155204994243 at .01 = -0.0779779704188562 .. 0.29335978618232 Increment in proportion of variance accounted for by... rime (over onset) = 0.12106410330567 F ratio = 5.36345841160279 (p < .05) onset (over rime) = 0.0561170405851714 F ratio = 2.48613259539747 (n.s.; cutoff at .05 is 4.11) (rime, vowel) -> rating Regression formula: rating = 4.15761617938455 + 0.123768437355947 rime + -0.0521089796505262 vowel Standardized regression coefficient for ... rime = 0.34247229895584 vowel = -0.0401288704198836 Regression sum of squares = 3.25704233214835 Residual sum of squares = 26.3078316428517 Squared multiple correlation = 0.110165946755007 F ratio = 2.29039336889313 (n.s.; cutoff at .05 is 3.26) Variance of estimate = 0.711022476833829 Standard error of coefficient for ... rime = 0.0591069352979888 vowel = 0.212378044339129 t score of coefficient for ... (37 df) rime = 2.09397487337088 vowel = -0.245359541814585 Confidence interval of regression slope for ... rime: at .05 = 0.00394014988041869 .. 0.243596724831475 at .01 = -0.0369111326720113 .. 0.284448007383905 vowel: at .05 = -0.482665854613818 .. 0.378447895312766 at .01 = -0.629449230430724 .. 0.525231271129672 Increment in proportion of variance accounted for by... rime (over vowel) = 0.105450885235993 F ratio = 4.38473077030859 (p < .05) vowel (over rime) = 0.00144781543310148 F ratio = 0.0602013047594682 (n.s.; cutoff at .05 is 4.11) (rime, coda) -> rating Regression formula: rating = 4.25619824315358 + 0.117794118097305 rime + -0.0751638218370253 coda Standardized regression coefficient for ... rime = 0.325941114633629 coda = 0.124503153242582 Regression sum of squares = 3.6721008496539 Residual sum of squares = 25.8927731253461 Squared multiple correlation = 0.124204853799107 F ratio = 2.62366125828746 (n.s.; cutoff at .05 is 3.26) Variance of estimate = 0.699804679063408 Standard error of coefficient for ... rime = 0.0556269766431936 coda = 0.0929243434855028 t score of coefficient for ... (37 df) rime = 2.11757181866756 coda = -0.808871163547705 Confidence interval of regression slope for ... rime: at .05 = 0.00502079775866968 .. 0.230567438435941 at .01 = -0.0334253393812786 .. 0.269013575575889 coda: at .05 = -0.263550597238565 .. 0.113222953564514 at .01 = -0.327774509247999 .. 0.177446865573948 Increment in proportion of variance accounted for by... rime (over coda) = 0.106139517018049 F ratio = 4.48411040721502 (p < .05) coda (over rime) = 0.0154867224772016 F ratio = 0.654272559219024 (n.s.; cutoff at .05 is 4.11) (rime, head) -> rating Regression formula: rating = 2.81999580303424 + 0.131836242069981 rime + 0.187233503590836 head Standardized regression coefficient for ... rime = 0.297041992744516 head = 0.543911113989255 Regression sum of squares = 13.2500820341137 Residual sum of squares = 16.3147919408863 Squared multiple correlation = 0.448169745127883 F ratio = 15.0248019416537 (p < .01) Variance of estimate = 0.440940322726656 Standard error of coefficient for ... rime = 0.0442152194172332 head = 0.0392461009826289 t score of coefficient for ... (37 df) rime = 2.9816937201175 head = 4.77075426355626 Confidence interval of regression slope for ... rime: at .05 = 0.0421981311374721 .. 0.221474353002491 at .01 = 0.0116391381457894 .. 0.252033345994173 head: at .05 = 0.107669353510463 .. 0.266797653671209 at .01 = 0.0805447267261489 .. 0.293922280455523 Increment in proportion of variance accounted for by... rime (over head) = 0.132595823475125 F ratio = 8.89049744058811 (p < .01) head (over rime) = 0.339451613805977 F ratio = 22.7600962432402 (p < .01) (onset, vowel) -> rating Regression formula: rating = 1.81280507129228 + 0.103923708959364 onset + 0.14348523917918 vowel Standardized regression coefficient for ... onset = 0.203459543973421 vowel = 0.0315602789977258 Regression sum of squares = 1.64305648728504 Residual sum of squares = 27.921817487715 Squared multiple correlation = 0.0555746149526768 F ratio = 1.08863060322442 (n.s.; cutoff at .05 is 3.26) Variance of estimate = 0.754643715884188 Standard error of coefficient for ... onset = 0.0736226305155653 vowel = 0.211000718913459 t score of coefficient for ... (37 df) onset = 1.41157288501655 vowel = 0.680022513278874 Confidence interval of regression slope for ... onset: at .05 = -0.0453324432949713 .. 0.253179861213699 at .01 = -0.0962161317535547 .. 0.304063549672282 vowel: at .05 = -0.284279365364027 .. 0.571249843722387 at .01 = -0.430110813799705 .. 0.717081292158064 Increment in proportion of variance accounted for by... onset (over vowel) = 0.0508595534336625 F ratio = 1.99253800971394 (n.s.; cutoff at .05 is 4.11) vowel (over onset) = 0.0118035463512697 F ratio = 0.462430618566118 (n.s.; cutoff at .05 is 4.11) (onset, coda) -> rating Regression formula: rating = 4.11890011269432 + 0.0991786057899747 onset + -0.0897472783515912 coda Standardized regression coefficient for ... onset = 0.201317568680635 coda = 0.121299602958933 Regression sum of squares = 1.94468991230704 Residual sum of squares = 27.620184062693 Squared multiple correlation = 0.0657770404822786 F ratio = 1.30255335359168 (n.s.; cutoff at .05 is 3.26) Variance of estimate = 0.746491461153864 Standard error of coefficient for ... onset = 0.0721489379640081 coda = 0.0961336465802614 t score of coefficient for ... (37 df) onset = 1.37463708529501 coda = -0.933567814642939 Confidence interval of regression slope for ... onset: at .05 = -0.047089909669655 .. 0.245447121249604 at .01 = -0.0969550673836555 .. 0.295312278963605 coda: at .05 = -0.284640317221132 .. 0.10514576051795 at .01 = -0.351082313231359 .. 0.171587756528177 Increment in proportion of variance accounted for by... onset (over coda) = 0.0477117037012207 F ratio = 1.88962711626836 (n.s.; cutoff at .05 is 4.11) coda (over onset) = 0.0220059718808714 F ratio = 0.87154886453719 (n.s.; cutoff at .05 is 4.11) (onset, head) -> rating Regression formula: rating = 3.52973572749917 + -0.0097310816057177 onset + 0.182988223004757 head Standardized regression coefficient for ... onset = -0.0214772209358384 head = 0.57044522432522 Regression sum of squares = 9.34131030042918 Residual sum of squares = 20.2235636745708 Squared multiple correlation = 0.315959753737769 F ratio = 8.54519229838988 (p < .01) Variance of estimate = 0.546582802015427 Standard error of coefficient for ... onset = 0.067359973862905 head = 0.047690082223531 t score of coefficient for ... (37 df) onset = -0.144463856614953 head = 3.83702888468638 Confidence interval of regression slope for ... onset: at .05 = -0.146290865524389 .. 0.126828702312954 at .01 = -0.192846169248476 .. 0.173384006037041 head: at .05 = 0.0863054758177733 .. 0.27967097019174 at .01 = 0.0533448593682791 .. 0.312631586641235 Increment in proportion of variance accounted for by... onset (over head) = 0.000385832085011972 F ratio = 0.020869805868075 (n.s.; cutoff at .05 is 4.11) head (over onset) = 0.272188685136362 F ratio = 14.7227906619176 (p < .01) (vowel, coda) -> rating Regression formula: rating = 4.59265223852448 + 0.0214519499417396 vowel + -0.0770691867367815 coda Standardized regression coefficient for ... vowel = 0.0165200417517138 coda = 0.127659245259986 Regression sum of squares = 0.540821712830787 Residual sum of squares = 29.0240522621692 Squared multiple correlation = 0.0182927115903861 F ratio = 0.344721047116175 (n.s.; cutoff at .05 is 3.26) Variance of estimate = 0.784433844923493 Standard error of coefficient for ... vowel = 0.231731859478199 coda = 0.10773544651461 t score of coefficient for ... (37 df) vowel = 0.0925722945047085 coda = -0.715355894741016 Confidence interval of regression slope for ... vowel: at .05 = -0.448341175599269 .. 0.491245075482748 at .01 = -0.608500784961828 .. 0.651404684845307 coda: at .05 = -0.295482711159462 .. 0.141344337685898 at .01 = -0.369943197806115 .. 0.215804824332552 Increment in proportion of variance accounted for by... vowel (over coda) = 0.000227374809328246 F ratio = 0.00856962970986404 (n.s.; cutoff at .05 is 4.11) coda (over vowel) = 0.0135776500713718 F ratio = 0.511734056140718 (n.s.; cutoff at .05 is 4.11) (vowel, head) -> rating Regression formula: rating = 0.659854679114508 + 0.258826433343578 vowel + 0.194014251027791 head Standardized regression coefficient for ... vowel = -0.0552658786827747 head = 0.573698379700981 Regression sum of squares = 10.4496687224101 Residual sum of squares = 19.1152052525899 Squared multiple correlation = 0.353448782878166 F ratio = 10.1133557714948 (p < .01) Variance of estimate = 0.516627168988916 Standard error of coefficient for ... vowel = 0.175806005898286 head = 0.0434297434834688 t score of coefficient for ... (37 df) vowel = 1.47222748176945 head = 4.46731284751062 Confidence interval of regression slope for ... vowel: at .05 = -0.0975874546121557 .. 0.615240321299312 at .01 = -0.219094360445749 .. 0.736747227132906 head: at .05 = 0.105968546054442 .. 0.28205995600114 at .01 = 0.0759524284317252 .. 0.312076073623856 Increment in proportion of variance accounted for by... vowel (over head) = 0.0378748612254086 F ratio = 2.16745375807721 (n.s.; cutoff at .05 is 4.11) head (over vowel) = 0.348733721359151 F ratio = 19.9568840775334 (p < .01) (coda, head) -> rating Regression formula: rating = 3.67945655822346 + -0.0251638889881647 coda + 0.177967324647941 head Standardized regression coefficient for ... coda = 0.041682067919137 head = 0.554793137855189 Regression sum of squares = 9.37983422393555 Residual sum of squares = 20.1850397510644 Squared multiple correlation = 0.317262783932958 F ratio = 8.59680908647489 (p < .01) Variance of estimate = 0.545541614893634 Standard error of coefficient for ... coda = 0.0831776352181945 head = 0.0441964367278344 t score of coefficient for ... (37 df) coda = -0.302531911638914 head = 4.02673468324788 Confidence interval of regression slope for ... coda: at .05 = -0.193791031204411 .. 0.143463253228082 at .01 = -0.251278584250611 .. 0.200950806274281 head: at .05 = 0.08836729211509 .. 0.267567357180792 at .01 = 0.0578212806279948 .. 0.298113368667888 Increment in proportion of variance accounted for by... coda (over head) = 0.0016888622802006 F ratio = 0.0915255575598885 (n.s.; cutoff at .05 is 4.11) head (over coda) = 0.2991974471519 F ratio = 16.2145922092714 (p < .01)