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SAS Output 1 Sum of Source DF Squares Mean Square F Value Pr > F Model 1.90029775 F Age 3.74614560 3.74614560 302.77 It| Intercept 0.2309333571
SAS Output 1 Sum of Source DF Squares Mean Square F Value Pr > F Model 1.90029775 <.0001 error corrected total r-square coeff var root mse speed mean source df type ill ss square f value ec> F Age 3.74614560 3.74614560 302.77 <.0001 dominant standard parameter estimate error t value pr> It| Intercept 0.2309333571 B 0.02726990 8.47 <.0001 age dominant b least squares means adjustment for multiple comparisons: tukey-kramer ho:lsmean1="LSMean2" speed lsmean ec> Itl 0.69828145 <.0001 op output sum of source df squares mean square f value pr> F Model 1.26693001 <.0001 error corrected total r-square coeff var root mse speed mean source df type ill ss square f value er> F Age 1 3.22634279 3.22634279 259.25 <.0001 dominant age standard parameter estimate error t value er> It| Intercept 0.2264932870 B 0.04482257 5.05 <.0001 age b dominant b47. what type of analysis should you perform to test the given hypothesis a. logistic regression b. ancova c. two-way anova d. one-way e. linear in sas output number insert for unexplained degrees freedom which model is more appropriate these data: or statistic and p-value use make this decision because interaction not significant value omnibus null ho do nondominant hands differ significantly their mean fdt speeds if so how yes were slower than at all ages. faster those younger ages but older no speed. consider estimated from can be written as: y="0.2265" z="age" years x="(1" hand otherwise speed using following statements true based on gure below n o c d p .0 m .c f u r5 lines are coincident. parallel there a same direction interaction. reverse as increases inean increase different rates hands. questions refer study accompanying output: dexterity measure function an important component thorough evaluation. especially children whom relationship between commonly measured parameters range motion sensation strength may reect actual functional ability. gogglg et al. conducted document normative values typically developing optimize administration interpretation. timed pegboard consisting thick cylindrical pegs arranged rows each. patients turn over specied order by manipulating each peg hand. total aged participated study. completed l6-peg with either elapsed time was recorded seconds. data analyzed interpreted gs per second signicance level computer need claim that signicantly after adjusting answering follow. two models. results provided labeled answer some follow fill critical pieces information have been deleted>
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