Sample size = 40 rime: Sum of raw scores = 98.408 Mean = 2.4602 Sum of squared raw scores = 265.56462 Sum of squared deviations from the mean = 23.4612584 Sample variance = 0.601570728205128 Standard deviation = 0.775609907237606 onset: Sum of raw scores = 173.562 Mean = 4.33905 Sum of squared raw scores = 780.909478 Sum of squared deviations from the mean = 27.8152819 Sample variance = 0.713212356410256 Standard deviation = 0.844519008909957 vowel: Sum of raw scores = 238.048 Mean = 5.9512 Sum of squared raw scores = 1424.277176 Sum of squared deviations from the mean = 7.6059184 Sample variance = 0.195023548717949 Standard deviation = 0.441614706183964 coda: Sum of raw scores = 198.376 Mean = 4.9594 Sum of squared raw scores = 992.60692 Sum of squared deviations from the mean = 8.7809856 Sample variance = 0.225153476923077 Standard deviation = 0.474503400328256 head: Sum of raw scores = 70.962 Mean = 1.77405 Sum of squared raw scores = 168.962162 Sum of squared deviations from the mean = 43.0720259 Sample variance = 1.10441092051282 Standard deviation = 1.05090956818978 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 = 425.185991 Sum of cross products deviations from the means = -1.8112414 Correlation = 0.0709020761116505 For `rime' -> `vowel': Sum of products = 591.62999 Sum of cross products deviations from the means = 5.9843004 Correlation = 0.447983381731774 For `rime' -> `coda': Sum of products = 490.707172 Sum of cross products deviations from the means = 2.6625368 Correlation = 0.185501888440813 For `rime' -> `head': Sum of products = 172.775117 Sum of cross products deviations from the means = -1.8055954 Correlation = 0.0567998434287582 For `rime' -> `rating': Sum of products = 412.719594 Sum of cross products deviations from the means = 1.3028082 Correlation = 0.0494671416047969 Sample covariance = 0.0334053384615385 Regression formula: Y = 4.0441096199128 + 0.0555301927027069X Regression sum of squares = 0.0723451904006665 Residual sum of squares = 29.4925287845994 Proportion of sum of squares of dependent due to... regression = 0.00244699809854902 residual = 0.997553001901452 Degrees of freedom of the regression = 1 Degrees of freedom of the residual = 38 Variance of estimate (Mean Square Residual) = 0.776119178542088 Standard error of estimate (standard deviation of residuals) = 0.880976264460109 F ratio = 0.0932140222801404 (n.s.; cutoff at .05 is 4.10) Standard error of regression coefficient = 0.181881512159286 Confidence interval of regression slope ... at .05 = -0.312751800215667 .. 0.423812185621081 at .01 = -0.437566654600449 .. 0.548627040005863 t ratio = 0.305309715338606 (38 df) For `onset' -> `vowel': Sum of products = 1032.940428 Sum of cross products deviations from the means = 0.0382535999999981 Correlation = 0.0026299939447356 For `onset' -> `coda': Sum of products = 859.858339 Sum of cross products deviations from the means = -0.9050438 Correlation = 0.0579103556667909 For `onset' -> `head': Sum of products = 335.493066 Sum of cross products deviations from the means = 27.5853999 Correlation = 0.796966197557795 For `onset' -> `rating': Sum of products = 738.496063 Sum of cross products deviations from the means = 12.88107055 Correlation = 0.449181860824576 Sample covariance = 0.33028386025641 Regression formula: Y = 2.17134003777254 + 0.463093295128532X Regression sum of squares = 5.96513740578259 Residual sum of squares = 23.5997365692174 Proportion of sum of squares of dependent due to... regression = 0.201764344093829 residual = 0.798235655906171 Degrees of freedom of the regression = 1 Degrees of freedom of the residual = 38 Variance of estimate (Mean Square Residual) = 0.621045699189932 Standard error of estimate (standard deviation of residuals) = 0.788064527300863 F ratio = 9.60498947752683 (p < .01) Standard error of regression coefficient = 0.149423892777552 Confidence interval of regression slope ... at .05 = 0.160532972375417 .. 0.765653617881646 at .01 = 0.0579919213514729 .. 0.86819466890559 t ratio = 3.09919174584711 (38 df) For `vowel' -> `coda': Sum of products = 1176.337296 Sum of cross products deviations from the means = -4.2379552 Correlation = 0.518571802342572 For `vowel' -> `head': Sum of products = 426.990452 Sum of cross products deviations from the means = 4.6813976 Correlation = 0.258643785271392 For `vowel' -> `rating': Sum of products = 995.494828 Sum of cross products deviations from the means = 0.281603200000001 Correlation = 0.0187790552062189 Sample covariance = 0.0072205948717949 Regression formula: Y = 3.96038645891862 + 0.03702422050702X Regression sum of squares = 0.0104261389722823 Residual sum of squares = 29.5544478360277 Proportion of sum of squares of dependent due to... regression = 0.000352652914438217 residual = 0.999647347085562 Degrees of freedom of the regression = 1 Degrees of freedom of the residual = 38 Variance of estimate (Mean Square Residual) = 0.777748627263887 Standard error of estimate (standard deviation of residuals) = 0.88190057674541 F ratio = 0.013405538250786 (n.s.; cutoff at .05 is 4.10) Standard error of regression coefficient = 0.31977447584152 Confidence interval of regression slope ... at .05 = -0.610469743278627 .. 0.684518184292667 at .01 = -0.82991263312647 .. 0.90396107414051 t ratio = 0.115782288156636 (38 df) For `coda' -> `head': Sum of products = 347.288653 Sum of cross products deviations from the means = -4.6402898 Correlation = 0.23860295736898 For `coda' -> `rating': Sum of products = 825.68146 Sum of cross products deviations from the means = -3.6740426 Correlation = 0.228026089297714 Sample covariance = -0.0942062205128205 Regression formula: Y = 6.25578214056062 + -0.418408908448728X Regression sum of squares = 1.53725215386012 Residual sum of squares = 28.0276218211399 Proportion of sum of squares of dependent due to... regression = 0.0519958974004091 residual = 0.948004102599591 Degrees of freedom of the regression = 1 Degrees of freedom of the residual = 38 Variance of estimate (Mean Square Residual) = 0.737568995293155 Standard error of estimate (standard deviation of residuals) = 0.858818371539148 F ratio = 2.08421471573534 (n.s.; cutoff at .05 is 4.10) Standard error of regression coefficient = 0.289820895262963 Confidence interval of regression slope ... at .05 = -1.00525149420508 .. 0.168433677307626 at .01 = -1.20413895896419 .. 0.367321142066738 t ratio = -1.44368096050871 (38 df) For `head' -> `rating': Sum of products = 315.405341 Sum of cross products deviations from the means = 18.73273355 Correlation = 0.52494703868919 Sample covariance = 0.480326501282051 Regression formula: Y = 3.40916143269685 + 0.434916472085424X Regression sum of squares = 8.14717438808227 Residual sum of squares = 21.4176995869177 Proportion of sum of squares of dependent due to... regression = 0.27556939342855 residual = 0.724430606571451 Degrees of freedom of the regression = 1 Degrees of freedom of the residual = 38 Variance of estimate (Mean Square Residual) = 0.563623673339941 Standard error of estimate (standard deviation of residuals) = 0.750748741817088 F ratio = 14.4549896916208 (p < .01) Standard error of regression coefficient = 0.114392345105144 Confidence interval of regression slope ... at .05 = 0.20328962705989 .. 0.666543317110958 at .01 = 0.124788718817341 .. 0.745044225353507 t ratio = 3.80197181625808 (38 df) (rime, onset) -> rating Regression formula: rating = 1.91971284871892 + 0.0917428324842892 rime + 0.46906729233432 onset Standardized regression coefficient for ... rime = 0.0177082362730704 onset = 0.44792631010854 Regression sum of squares = 6.16161219970761 Residual sum of squares = 23.4032617752924 Squared multiple correlation = 0.208409892256529 F ratio = 4.87068113791445 (p < .05) Variance of estimate = 0.632520588521416 Standard error of coefficient for ... rime = 0.164609940029882 onset = 0.151178480259143 t score of coefficient for ... (37 df) rime = 0.557334705714825 onset = 3.10273850835296 Confidence interval of regression slope for ... rime: at .05 = -0.241973120064875 .. 0.425458785033453 at .01 = -0.35574195509578 .. 0.539227620064359 onset: at .05 = 0.162581119412706 .. 0.775553465255933 at .01 = 0.0580953296863806 .. 0.880039254982259 Increment in proportion of variance accounted for by... rime (over onset) = 0.00664554816270002 F ratio = 0.310621974194231 (n.s.; cutoff at .05 is 4.11) onset (over rime) = 0.20596289415798 F ratio = 9.62698625121635 (p < .01) (rime, vowel) -> rating Regression formula: rating = 4.08851183590242 + 0.0576576231295605 rime + -0.00834052297448746 vowel Standardized regression coefficient for ... rime = 0.051362289038247 vowel = -0.00423039673061979 Regression sum of squares = 0.0727681062464117 Residual sum of squares = 29.4921058687536 Squared multiple correlation = 0.00246130277125295 F ratio = 0.0456464510045349 (n.s.; cutoff at .05 is 3.26) Variance of estimate = 0.797083942398746 Standard error of coefficient for ... rime = 0.206166697306976 vowel = 0.362091503599375 t score of coefficient for ... (37 df) rime = 0.279665066583037 vowel = -0.0230342962803004 Confidence interval of regression slope for ... rime: at .05 = -0.360306904184059 .. 0.47562215044318 at .01 = -0.502797357497668 .. 0.618112603756789 vowel: at .05 = -0.742413514020404 .. 0.725732468071429 at .01 = -0.992670142092873 .. 0.975989096143898 Increment in proportion of variance accounted for by... rime (over vowel) = 0.00210864985681473 F ratio = 0.0782125494668947 (n.s.; cutoff at .05 is 4.11) vowel (over rime) = 1.43046727039248e-05 F ratio = 0.00053057880512865 (n.s.; cutoff at .05 is 4.11) (rime, coda) -> rating Regression formula: rating = 6.15374533476794 + 0.106685103580707 rime + -0.450757556679679 coda Standardized regression coefficient for ... rime = 0.00742331474333061 coda = 0.226649050394336 Regression sum of squares = 1.79509269327585 Residual sum of squares = 27.7697812817241 Squared multiple correlation = 0.0607170757701783 F ratio = 1.19587599515805 (n.s.; cutoff at .05 is 3.26) Variance of estimate = 0.750534629235788 Standard error of coefficient for ... rime = 0.182017669814917 coda = 0.297520961710896 t score of coefficient for ... (37 df) rime = 0.586124982751339 coda = -1.51504470168285 Confidence interval of regression slope for ... rime: at .05 = -0.262321774448879 .. 0.475691981610293 at .01 = -0.388121821797927 .. 0.60149202895934 coda: at .05 = -1.05392581688724 .. 0.152410703527883 at .01 = -1.25955503469133 .. 0.358039921331974 Increment in proportion of variance accounted for by... rime (over coda) = 0.00872117836976923 F ratio = 0.343542495405259 (n.s.; cutoff at .05 is 4.11) coda (over rime) = 0.0582700776716293 F ratio = 2.29536044809728 (n.s.; cutoff at .05 is 4.11) (rime, head) -> rating Regression formula: rating = 3.18285042178599 + 0.0892897472390107 rime + 0.438659531612186 head Standardized regression coefficient for ... rime = 0.0197138332054619 head = 0.523827296049739 Regression sum of squares = 8.33361953973779 Residual sum of squares = 21.2312544352622 Squared multiple correlation = 0.281875699750477 F ratio = 7.26155686915468 (p < .01) Variance of estimate = 0.57381768743952 Standard error of coefficient for ... rime = 0.156643728487432 head = 0.115608832005182 t score of coefficient for ... (37 df) rime = 0.570018015411161 head = 3.79434273319641 Confidence interval of regression slope for ... rime: at .05 = -0.228276197159891 .. 0.406855691637912 at .01 = -0.336539249206914 .. 0.515118743684935 head: at .05 = 0.204284186546742 .. 0.673034876677629 at .01 = 0.124382072894763 .. 0.752936990329608 Increment in proportion of variance accounted for by... rime (over head) = 0.0063063063219273 F ratio = 0.32492053789328 (n.s.; cutoff at .05 is 4.11) head (over rime) = 0.279428701651928 F ratio = 14.3970367769604 (p < .01) (onset, vowel) -> rating Regression formula: rating = 1.96506808088028 + 0.463045579551175 onset + 0.0346953550827055 vowel Standardized regression coefficient for ... onset = 0.449135578634675 vowel = 0.0175978313540444 Regression sum of squares = 5.97429310108076 Residual sum of squares = 23.5905808739193 Squared multiple correlation = 0.202074025620153 F ratio = 4.68510813534842 (p < .05) Variance of estimate = 0.637583266862683 Standard error of coefficient for ... onset = 0.151400818982503 vowel = 0.289530370716404 t score of coefficient for ... (37 df) onset = 3.05840868406854 vowel = 0.119833214722367 Confidence interval of regression slope for ... onset: at .05 = 0.156108656335617 .. 0.769982502766733 at .01 = 0.0514691989903475 .. 0.874621960112003 vowel: at .05 = -0.552273472182511 .. 0.621664182347922 at .01 = -0.752380057340684 .. 0.821770767506095 Increment in proportion of variance accounted for by... onset (over vowel) = 0.201721372705715 F ratio = 9.35386367878586 (p < .01) vowel (over onset) = 0.000309681526324351 F ratio = 0.0143599993506997 (n.s.; cutoff at .05 is 4.11) (onset, coda) -> rating Regression formula: rating = 4.06837840589953 + 0.450991704089897 onset + -0.37192582964286 coda Standardized regression coefficient for ... onset = 0.437443804500174 coda = 0.202693562994875 Regression sum of squares = 7.1757272999949 Residual sum of squares = 22.3891466750051 Squared multiple correlation = 0.242711242607112 F ratio = 5.92925478477957 (p < .01) Variance of estimate = 0.605112072297435 Standard error of coefficient for ... onset = 0.147742562282438 coda = 0.262951545102241 t score of coefficient for ... (37 df) onset = 3.05255098546174 coda = -1.41442724551494 Confidence interval of regression slope for ... onset: at .05 = 0.151471214044232 .. 0.750512194135563 at .01 = 0.0493601313702295 .. 0.852623276809565 coda: at .05 = -0.905011045105177 .. 0.161159385819457 at .01 = -1.08674788888525 .. 0.342896229599533 Increment in proportion of variance accounted for by... onset (over coda) = 0.190715345206702 F ratio = 9.31806751884345 (p < .01) coda (over onset) = 0.0409468985132825 F ratio = 2.00060443285498 (n.s.; cutoff at .05 is 4.11) (onset, head) -> rating Regression formula: rating = 3.13025139856275 + 0.087081476728094 onset + 0.3791453002115 head Standardized regression coefficient for ... onset = 0.084465528159333 head = 0.457630867887335 Regression sum of squares = 8.22413053092955 Residual sum of squares = 21.3407434440705 Squared multiple correlation = 0.27817235202436 F ratio = 7.1293868098335 (p < .01) Variance of estimate = 0.576776849839742 Standard error of coefficient for ... onset = 0.238400987232262 head = 0.191580866284574 t score of coefficient for ... (37 df) onset = 0.36527313808166 head = 1.97903531581446 Confidence interval of regression slope for ... onset: at .05 = -0.396232061497076 .. 0.570395014953264 at .01 = -0.561000984823993 .. 0.735163938280181 head: at .05 = -0.00924917505982803 .. 0.767539775482827 at .01 = -0.141658748670334 .. 0.899949349093333 Increment in proportion of variance accounted for by... onset (over head) = 0.00260295859581056 F ratio = 0.13342446540402 (n.s.; cutoff at .05 is 4.11) head (over onset) = 0.0764080079305313 F ratio = 3.91658078124083 (n.s.; cutoff at .05 is 4.11) (vowel, coda) -> rating Regression formula: rating = 8.49422316944435 + -0.268245475055411 vowel + -0.547871859155258 coda Standardized regression coefficient for ... vowel = -0.136056789741971 coda = 0.298581303975153 Regression sum of squares = 1.93736576571649 Residual sum of squares = 27.6275082092835 Squared multiple correlation = 0.0655293091171208 F ratio = 1.29730362920358 (n.s.; cutoff at .05 is 3.26) Variance of estimate = 0.746689411061716 Standard error of coefficient for ... vowel = 0.366446634861368 coda = 0.341047551765603 t score of coefficient for ... (37 df) vowel = -0.73201784253495 coda = -1.606438328963 Confidence interval of regression slope for ... vowel: at .05 = -1.01114768247373 .. 0.474656732362912 at .01 = -1.26441432446149 .. 0.727923374350663 coda: at .05 = -1.23928216269682 .. 0.143538444386301 at .01 = -1.47499443285178 .. 0.379250714541258 Increment in proportion of variance accounted for by... vowel (over coda) = 0.0135334117167117 F ratio = 0.535850121789526 (n.s.; cutoff at .05 is 4.11) coda (over vowel) = 0.0651766562026826 F ratio = 2.58064410476144 (n.s.; cutoff at .05 is 4.11) (vowel, head) -> rating Regression formula: rating = 4.83264057716089 + -0.247201207044497 vowel + 0.461784192216861 head Standardized regression coefficient for ... vowel = -0.125382926380649 head = 0.557376553376685 Regression sum of squares = 8.58086757945286 Residual sum of squares = 20.9840063955472 Squared multiple correlation = 0.290238598233458 F ratio = 7.56509730446728 (p < .01) Variance of estimate = 0.567135307987761 Standard error of coefficient for ... vowel = 0.282684911202656 head = 0.118790253492922 t score of coefficient for ... (37 df) vowel = -0.874476129598863 head = 3.88739125171052 Confidence interval of regression slope for ... vowel: at .05 = -0.82029214186985 .. 0.325889727780855 at .01 = -1.01566754278733 .. 0.521265128698338 head: at .05 = 0.220959108441538 .. 0.702609275992184 at .01 = 0.138858180937025 .. 0.784710203496698 Increment in proportion of variance accounted for by... vowel (over head) = 0.0146692048049086 F ratio = 0.764708501238205 (n.s.; cutoff at .05 is 4.11) head (over vowel) = 0.28988594531902 F ratio = 15.1118107438755 (p < .01) (coda, head) -> rating Regression formula: rating = 4.43907328875633 + -0.199962531540057 coda + 0.413373856522326 head Standardized regression coefficient for ... coda = 0.108976346230777 head = 0.498944960195261 Regression sum of squares = 8.47829317005068 Residual sum of squares = 21.0865808049493 Squared multiple correlation = 0.286769129380355 F ratio = 7.43830519972792 (p < .01) Variance of estimate = 0.569907589322955 Standard error of coefficient for ... coda = 0.262336632021711 head = 0.118449415337786 t score of coefficient for ... (37 df) coda = -0.762236405945428 head = 3.48987671525009 Confidence interval of regression slope for ... coda: at .05 = -0.731801125417027 .. 0.331876062336913 at .01 = -0.913112976971212 .. 0.513187913891097 head: at .05 = 0.173239758537932 .. 0.65350795450672 at .01 = 0.0913743985807789 .. 0.735373314463873 Increment in proportion of variance accounted for by... coda (over head) = 0.0111997359518057 F ratio = 0.581004338548602 (n.s.; cutoff at .05 is 4.11) head (over coda) = 0.234773231979946 F ratio = 12.1792394876448 (p < .01)