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Category > Statistics Posted 27 May 2017 My Price 7.00

Root Dentine Transparency

13.20 ● The article “Root Dentine Transparency: Age De- termination of Human Teeth Using Computerized Densi- tometric Analysis” (American Journal of Physical Anthro- pology [1991]: 25–30) described a study in which the objective was to predict age (y) from percentage of a tooth’s root with transparent dentine. The accompanying data are for anterior teeth.

Mean Response Time 

Study

Control

CHI

 

7

880

1421

 

8

920

1329

 

9

1010

1481

 

10

1200

1815

 

 

 

a.    Fit a linear regression model that would allow you to predict the mean response time for those suffering a

 

x     15     19     31     39

41     44     47     48     55

65

closed-head injury from the mean response ti

y     23     52     65     55

32     60     78     59     61

60

same task for individuals with no head injury.

 

 

me on the

 

 

 

 

 

Use the accompanying MINITAB output to decide whether the simple linear regression model is useful.

 

The regression equation is Age = 32.1 + 0.555percent

Predictor                Coef            Stdev        t-ratio                 p Constant     32.08        13.32                        2.41           0.043

percent                0.5549          0.3101           1.79         0.111

s = 14.30         R-sq = 28.6%           R-sq(adj) = 19.7%

Analysis of Variance

Source                     DF                SS             MS              F               p

 

b.    Do the sample data support the hypothesis that there is a useful linear relationship between the mean response time for individuals with no head injury and the mean re- sponse time for individuals with CHI? Test the appropriate hypotheses using = .05.

c.    It is also possible to test hypotheses about the inter- cept in a linear regression model. For these data, the null hypothesis H0: = 0 cannot be rejected at the .05 signifi- cance level, suggesting that a model with a intercept of 0 might be an appropriate model. Fitting such a model re- sults in an estimated regression equation of

 

Regression

1

654.8

654.8

3.20

0.111

 

Error

8

1635.7

204.5

 

 

Interpret the estimated slope of 1.48.

Total

9

2290.5

 

 

 

 

 

 

CHI = 1.48(Control)

Answers

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Status NEW Posted 27 May 2017 02:05 PM My Price 7.00

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