Sample size = 40 rime: Sum of raw scores = 572 Mean = 14.3 Sum of squared raw scores = 10076 Sum of squared deviations from the mean = 1896.4 Sample variance = 48.6256410256411 Standard deviation = 6.97320880410454 onset: Sum of raw scores = 4104 Mean = 102.6 Sum of squared raw scores = 602388 Sum of squared deviations from the mean = 181317.6 Sample variance = 4649.16923076923 Standard deviation = 68.1848167172812 vowel: Sum of raw scores = 16764 Mean = 419.1 Sum of squared raw scores = 8049652 Sum of squared deviations from the mean = 1023859.6 Sample variance = 26252.8102564103 Standard deviation = 162.027189867659 coda: Sum of raw scores = 6368 Mean = 159.2 Sum of squared raw scores = 1244832 Sum of squared deviations from the mean = 231046.4 Sample variance = 5924.26666666667 Standard deviation = 76.9692579324152 head: Sum of raw scores = 364 Mean = 9.1 Sum of squared raw scores = 6000 Sum of squared deviations from the mean = 2687.6 Sample variance = 68.9128205128205 Standard deviation = 8.30137461585854 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 = 57238 Sum of cross products deviations from the means = -1449.2 Correlation = 0.0781525892517745 For `rime' -> `vowel': Sum of products = 256576 Sum of cross products deviations from the means = 16850.8 Correlation = 0.382415377296166 For `rime' -> `coda': Sum of products = 92918 Sum of cross products deviations from the means = 1855.6 Correlation = 0.0886481726106548 For `rime' -> `head': Sum of products = 5316 Sum of cross products deviations from the means = 110.8 Correlation = 0.0490786344865553 For `rime' -> `rating': Sum of products = 2401.886 Sum of cross products deviations from the means = 10.5113 Correlation = 0.044391870202215 Sample covariance = 0.269520512820513 Regression formula: Y = 4.10146345707657 + 0.00554276523940097X Regression sum of squares = 0.0582616682609156 Residual sum of squares = 29.5066123067391 Proportion of sum of squares of dependent due to... regression = 0.0019706381400503 residual = 0.99802936185995 Degrees of freedom of the regression = 1 Degrees of freedom of the residual = 38 Variance of estimate (Mean Square Residual) = 0.776489797545765 Standard error of estimate (standard deviation of residuals) = 0.881186584978326 F ratio = 0.0750321104605135 (n.s.; cutoff at .05 is 4.10) Standard error of regression coefficient = 0.0202349857826333 Confidence interval of regression slope ... at .05 = -0.0354299581684448 .. 0.0465154886472467 at .01 = -0.049316068823417 .. 0.0604015993022189 t ratio = 0.273919897890813 (38 df) For `onset' -> `vowel': Sum of products = 1714962 Sum of cross products deviations from the means = -5024.4 Correlation = 0.0116612209081233 For `onset' -> `coda': Sum of products = 648702 Sum of cross products deviations from the means = -4654.8 Correlation = 0.0227421459153379 For `onset' -> `head': Sum of products = 55554 Sum of cross products deviations from the means = 18207.6 Correlation = 0.82480333197247 For `onset' -> `rating': Sum of products = 18188.402 Sum of cross products deviations from the means = 1030.7066 Correlation = 0.445171199767019 Sample covariance = 26.4283743589744 Regression formula: Y = 3.59749150716753 + 0.00568453696717803X Regression sum of squares = 5.85908977001438 Residual sum of squares = 23.7057842049856 Proportion of sum of squares of dependent due to... regression = 0.198177397102008 residual = 0.801822602897993 Degrees of freedom of the regression = 1 Degrees of freedom of the residual = 38 Variance of estimate (Mean Square Residual) = 0.62383642644699 Standard error of estimate (standard deviation of residuals) = 0.789833163678881 F ratio = 9.39202893839393 (p < .01) Standard error of regression coefficient = 0.00185487814447517 Confidence interval of regression slope ... at .05 = 0.001928694982151 .. 0.00944037895220507 at .01 = 0.000655798453220508 .. 0.0107132754811356 t ratio = 3.06464173083803 (38 df) For `vowel' -> `coda': Sum of products = 2410194 Sum of cross products deviations from the means = -258634.8 Correlation = 0.531761821712075 For `vowel' -> `head': Sum of products = 169668 Sum of cross products deviations from the means = 17115.6 Correlation = 0.326279365203632 For `vowel' -> `rating': Sum of products = 70203.44 Sum of cross products deviations from the means = 117.7661 Correlation = 0.0214048443237518 Sample covariance = 3.01964358974359 Regression formula: Y = 4.13251939396769 + 0.000115021727588431X Regression sum of squares = 0.0135456602733519 Residual sum of squares = 29.5513283147267 Proportion of sum of squares of dependent due to... regression = 0.000458167360524049 residual = 0.999541832639476 Degrees of freedom of the regression = 1 Degrees of freedom of the residual = 38 Variance of estimate (Mean Square Residual) = 0.77766653459807 Standard error of estimate (standard deviation of residuals) = 0.881854032478204 F ratio = 0.0174183402148748 (n.s.; cutoff at .05 is 4.10) Standard error of regression coefficient = 0.000871518281972577 Confidence interval of regression slope ... at .05 = -0.00164966829471888 .. 0.00187971174989574 at .01 = -0.00224774132680813 .. 0.00247778478198499 t ratio = 0.131978559678741 (38 df) For `coda' -> `head': Sum of products = 52854 Sum of cross products deviations from the means = -5094.8 Correlation = 0.204453816053382 For `coda' -> `rating': Sum of products = 26090.55 Sum of cross products deviations from the means = -532.3068 Correlation = 0.203668748649386 Sample covariance = -13.6488923076923 Regression formula: Y = 4.54750519029944 + -0.00230389566771004X Regression sum of squares = 1.22637933041259 Residual sum of squares = 28.3384946445874 Proportion of sum of squares of dependent due to... regression = 0.041480959176407 residual = 0.958519040823593 Degrees of freedom of the regression = 1 Degrees of freedom of the residual = 38 Variance of estimate (Mean Square Residual) = 0.745749859068089 Standard error of estimate (standard deviation of residuals) = 0.863568097527977 F ratio = 1.64449153492984 (n.s.; cutoff at .05 is 4.10) Standard error of regression coefficient = 0.00179658176337815 Confidence interval of regression slope ... at .05 = -0.00594169647771353 .. 0.00133390514229346 at .01 = -0.00717458754247451 .. 0.00256679620705444 t ratio = -1.28237729819653 (38 df) For `head' -> `rating': Sum of products = 1633.912 Sum of cross products deviations from the means = 112.1281 Correlation = 0.39778108762126 Sample covariance = 2.87507948717949 Regression formula: Y = 3.80106816490549 + 0.0417205313290668X Regression sum of squares = 4.67804390891874 Residual sum of squares = 24.8868300660813 Proportion of sum of squares of dependent due to... regression = 0.158229793669152 residual = 0.841770206330848 Degrees of freedom of the regression = 1 Degrees of freedom of the residual = 38 Variance of estimate (Mean Square Residual) = 0.654916580686349 Standard error of estimate (standard deviation of residuals) = 0.809269164546845 F ratio = 7.14296148070671 (p < .05) Standard error of regression coefficient = 0.0156102794111611 Confidence interval of regression slope ... at .05 = 0.0101121246070011 .. 0.0733289380511325 at .01 = -0.000600315203283089 .. 0.0840413778614168 t ratio = 2.67263193887724 (38 df) (rime, onset) -> rating Regression formula: rating = 3.44708399222402 + 0.00994755979710064 rime + 0.005764043885745 onset Standardized regression coefficient for ... rime = 0.00965958737065196 onset = 0.444416278002899 Regression sum of squares = 6.04559986102229 Residual sum of squares = 23.5192741139777 Squared multiple correlation = 0.204485899927544 F ratio = 4.75540175631707 (p < .05) Variance of estimate = 0.635656057134533 Standard error of coefficient for ... rime = 0.018364389117599 onset = 0.001878111961609 t score of coefficient for ... (37 df) rime = 0.541676596667605 onset = 3.06906297578068 Confidence interval of regression slope for ... rime: at .05 = -0.027282814056693 .. 0.0471779336508943 at .01 = -0.0399752137719483 .. 0.0598703333661496 onset: at .05 = 0.0019565221641008 .. 0.00957156560738921 at .01 = 0.000658480199617511 .. 0.0108696075718725 Increment in proportion of variance accounted for by... rime (over onset) = 0.00630850282553597 F ratio = 0.293413535377401 (n.s.; cutoff at .05 is 4.11) onset (over rime) = 0.202515261787493 F ratio = 9.41914754930776 (p < .01) (rime, vowel) -> rating Regression formula: rating = 4.09332307689001 + 0.00529507969822802 rime + 2.78746920193935e-05 vowel Standardized regression coefficient for ... rime = 0.0424081628071128 vowel = 0.00518731074343253 Regression sum of squares = 0.0589408649998092 Residual sum of squares = 29.5059331100002 Squared multiple correlation = 0.00199361123776984 F ratio = 0.0369554827644786 (n.s.; cutoff at .05 is 3.26) Variance of estimate = 0.797457651621627 Standard error of coefficient for ... rime = 0.022193271516725 vowel = 0.000955137939864994 t score of coefficient for ... (37 df) rime = 0.238589416357007 vowel = 0.0291839438639967 Confidence interval of regression slope for ... rime: at .05 = -0.0396976391074629 .. 0.050287798503919 at .01 = -0.0550363400724473 .. 0.0656264994689034 vowel: at .05 = -0.00190848934140429 .. 0.00196423872544308 at .01 = -0.00256862524019954 .. 0.00262437462423833 Increment in proportion of variance accounted for by... rime (over vowel) = 0.00153544387724579 F ratio = 0.0569249095975772 (n.s.; cutoff at .05 is 4.11) vowel (over rime) = 2.29730977195407e-05 F ratio = 0.000851702579456649 (n.s.; cutoff at .05 is 4.11) (rime, coda) -> rating Regression formula: rating = 4.44517177657437 + 0.00785885264435723 rime + -0.00236701237053193 coda Standardized regression coefficient for ... rime = 0.0265456165042194 coda = 0.201315528255464 Regression sum of squares = 1.3425835383189 Residual sum of squares = 28.2222904366811 Squared multiple correlation = 0.0454114412750139 F ratio = 0.880077239465207 (n.s.; cutoff at .05 is 3.26) Variance of estimate = 0.762764606396787 Standard error of coefficient for ... rime = 0.0201346221868639 coda = 0.00182414289123123 t score of coefficient for ... (37 df) rime = 0.390315376738703 coda = -1.29760249699205 Confidence interval of regression slope for ... rime: at .05 = -0.0329603385969923 .. 0.0486780438857067 at .01 = -0.0468762206486538 .. 0.0625939259373683 coda: at .05 = -0.00606512186757998 .. 0.00133109712651611 at .01 = -0.00732586354349341 .. 0.00259183880242955 Increment in proportion of variance accounted for by... rime (over coda) = 0.00393048209860692 F ratio = 0.152346093318675 (n.s.; cutoff at .05 is 4.11) coda (over rime) = 0.0434408031349636 F ratio = 1.68377224019999 (n.s.; cutoff at .05 is 4.11) (rime, head) -> rating Regression formula: rating = 3.75772461502515 + 0.00311267848404795 rime + 0.041592206884941 head Standardized regression coefficient for ... rime = 0.02492936526751 head = 0.396557588415314 Regression sum of squares = 4.69637343016473 Residual sum of squares = 24.8685005448353 Squared multiple correlation = 0.158849769971486 F ratio = 3.49369308782437 (p < .05) Variance of estimate = 0.672121636346899 Standard error of coefficient for ... rime = 0.0188487537617206 head = 0.0158330760578542 t score of coefficient for ... (37 df) rime = 0.165139750001372 head = 2.62691890905865 Confidence interval of regression slope for ... rime: at .05 = -0.035099654348437 .. 0.0413250113165329 at .01 = -0.0481268187886042 .. 0.0543521757567001 head: at .05 = 0.00949359815286192 .. 0.0736908156170201 at .01 = -0.00144930491684817 .. 0.0846337186867302 Increment in proportion of variance accounted for by... rime (over head) = 0.000619976302333902 F ratio = 0.0272711370305121 (n.s.; cutoff at .05 is 4.11) head (over rime) = 0.156879131831436 F ratio = 6.90070295476988 (p < .05) (onset, vowel) -> rating Regression formula: rating = 3.53718023963344 + 0.00568849782100427 onset + 0.000142936969533571 vowel Standardized regression coefficient for ... onset = 0.44498210362775 vowel = 0.0162158097131872 Regression sum of squares = 5.88000537764251 Residual sum of squares = 23.6848685973575 Squared multiple correlation = 0.19888484498918 F ratio = 4.59280992162747 (p < .05) Variance of estimate = 0.640131583712364 Standard error of coefficient for ... onset = 0.00187907527190923 vowel = 0.000790758656727653 t score of coefficient for ... (37 df) onset = 3.02728576446248 vowel = 0.180759285171885 Confidence interval of regression slope for ... onset: at .05 = 0.0018790231673902 .. 0.00949797247461834 at .01 = 0.000580315418747042 .. 0.0107966802232615 vowel: at .05 = -0.00146017872517151 .. 0.00174605266423865 at .01 = -0.00200670520559048 .. 0.00229257914465762 Increment in proportion of variance accounted for by... onset (over vowel) = 0.198426677628656 F ratio = 9.1644590997172 (p < .01) vowel (over onset) = 0.000707447887172252 F ratio = 0.0326739191758516 (n.s.; cutoff at .05 is 4.11) (onset, coda) -> rating Regression formula: rating = 3.95198951496434 + 0.00562830215957742 onset + -0.00219050450086043 coda Standardized regression coefficient for ... onset = 0.440767302508056 coda = 0.193644754341038 Regression sum of squares = 6.9671486239093 Residual sum of squares = 22.5977253510907 Squared multiple correlation = 0.235656293674741 F ratio = 5.70377095657998 (p < .01) Variance of estimate = 0.610749333813262 Standard error of coefficient for ... onset = 0.00183579363074256 coda = 0.00162627593932171 t score of coefficient for ... (37 df) onset = 3.06586866046639 coda = -1.34694515727389 Confidence interval of regression slope for ... onset: at .05 = 0.00190657296111146 .. 0.00935003135804338 at .01 = 0.000637778970366905 .. 0.0106188253487879 coda: at .05 = -0.00548747565642984 .. 0.00110646665470898 at .01 = -0.00661146318125267 .. 0.00223045417953181 Increment in proportion of variance accounted for by... onset (over coda) = 0.194175334498334 F ratio = 9.39955064322995 (p < .01) coda (over onset) = 0.0374788965727333 F ratio = 1.81426125670357 (n.s.; cutoff at .05 is 4.11) (onset, head) -> rating Regression formula: rating = 3.60956836854787 + 0.00467637106678394 onset + 0.0100396659340768 head Standardized regression coefficient for ... onset = 0.36621904833692 head = 0.0957223963211808 Regression sum of squares = 5.945695188406 Residual sum of squares = 23.619178786594 Squared multiple correlation = 0.201106732044035 F ratio = 4.65703579194478 (p < .05) Variance of estimate = 0.638356183421459 Standard error of coefficient for ... onset = 0.00331849066292703 head = 0.0272570132177184 t score of coefficient for ... (37 df) onset = 1.40918614568564 head = 0.3683333112797 Confidence interval of regression slope for ... onset: at .05 = -0.00205124983146295 .. 0.0114039919650308 at .01 = -0.00434479794109477 .. 0.0136975400746627 head: at .05 = -0.0452188447484788 .. 0.0652981766166324 at .01 = -0.0640573100297302 .. 0.0841366418978838 Increment in proportion of variance accounted for by... onset (over head) = 0.0428769383748832 F ratio = 1.98580559319236 (n.s.; cutoff at .05 is 4.11) head (over onset) = 0.00292933494202785 F ratio = 0.135669428198267 (n.s.; cutoff at .05 is 4.11) (vowel, coda) -> rating Regression formula: rating = 4.93639005856279 + -0.000651060928131717 vowel + -0.00303269738431398 coda Standardized regression coefficient for ... vowel = -0.12115848113325 coda = 0.268096203292672 Regression sum of squares = 1.53765253364409 Residual sum of squares = 28.0272214413559 Squared multiple correlation = 0.0520094398151106 F ratio = 1.01496225488985 (n.s.; cutoff at .05 is 3.26) Variance of estimate = 0.757492471387998 Standard error of coefficient for ... vowel = 0.00101564030195805 coda = 0.00213801390922984 t score of coefficient for ... (37 df) vowel = -0.641034947979654 coda = -1.41846475891564 Confidence interval of regression slope for ... vowel: at .05 = -0.00271008221660143 .. 0.001407960360338 at .01 = -0.0034120338359461 .. 0.00210991197968266 coda: at .05 = -0.0073671218312974 .. 0.00130172706266945 at .01 = -0.0088447929348091 .. 0.00277939816618115 Increment in proportion of variance accounted for by... vowel (over coda) = 0.0105284806387037 F ratio = 0.410925804531281 (n.s.; cutoff at .05 is 4.11) coda (over vowel) = 0.0515512724545866 F ratio = 2.0120422722856 (n.s.; cutoff at .05 is 4.11) (vowel, head) -> rating Regression formula: rating = 4.03646408115855 + -0.00065179914112911 vowel + 0.0458714218558972 head Standardized regression coefficient for ... vowel = -0.121295858084703 head = 0.437357423198967 Regression sum of squares = 5.0667155341661 Residual sum of squares = 24.4981584408339 Squared multiple correlation = 0.171376192519897 F ratio = 3.82617483711899 (p < .05) Variance of estimate = 0.662112390292808 Standard error of coefficient for ... vowel = 0.000850723095438586 head = 0.0166045117691842 t score of coefficient for ... (37 df) vowel = -0.766170737134013 head = 2.76258781309238 Confidence interval of regression slope for ... vowel: at .05 = -0.00237648155154931 .. 0.00107288326929109 at .01 = -0.00296445197110212 .. 0.0016608536888439 head: at .05 = 0.0122088710970476 .. 0.0795339726147469 at .01 = 0.000732796445090889 .. 0.0910100472667036 Increment in proportion of variance accounted for by... vowel (over head) = 0.0131463988507451 F ratio = 0.587017598440473 (n.s.; cutoff at .05 is 4.11) head (over vowel) = 0.170918025159373 F ratio = 7.63189142504655 (p < .01) (coda, head) -> rating Regression formula: rating = 4.05591403496252 + -0.00144429028608831 coda + 0.0389826350090926 head Standardized regression coefficient for ... coda = 0.127678001819609 head = 0.37167683292317 Regression sum of squares = 5.13985433702179 Residual sum of squares = 24.4250196379782 Squared multiple correlation = 0.173850033704457 F ratio = 3.89302881407116 (p < .05) Variance of estimate = 0.660135665891303 Standard error of coefficient for ... coda = 0.00172678879277188 head = 0.0160105594718926 t score of coefficient for ... (37 df) coda = -0.836402397406057 head = 2.43480779528839 Confidence interval of regression slope for ... coda: at .05 = -0.00494503250570446 .. 0.00205645193352783 at .01 = -0.00613848868011541 .. 0.00324990810793879 head: at .05 = 0.00652421175690159 .. 0.0714410582612836 at .01 = -0.0045413575457759 .. 0.0825066275639611 Increment in proportion of variance accounted for by... coda (over head) = 0.0156202400353052 F ratio = 0.699568970386595 (n.s.; cutoff at .05 is 4.11) head (over coda) = 0.132369074528051 F ratio = 5.92828899999714 (p < .05)