In: Statistics and Probability
Consider a study to relate birthweight (y) to the estriol level(x) of pregnant women. The data is below with 32 observations.
| 
 i  | 
 Estriol(mg/24hr)  | 
 Weight(g/100)  | 
 i  | 
 Estriol(mg/24hr)  | 
 Weight(g/100)  | 
| 
 1  | 
 7  | 
 25  | 
 17  | 
 17  | 
 32  | 
| 
 2  | 
 9  | 
 25  | 
 18  | 
 25  | 
 32  | 
| 
 3  | 
 9  | 
 25  | 
 19  | 
 27  | 
 34  | 
| 
 4  | 
 12  | 
 27  | 
 20  | 
 15  | 
 34  | 
| 
 5  | 
 14  | 
 27  | 
 21  | 
 15  | 
 34  | 
| 
 6  | 
 16  | 
 27  | 
 22  | 
 15  | 
 35  | 
| 
 7  | 
 16  | 
 24  | 
 23  | 
 16  | 
 35  | 
| 
 8  | 
 14  | 
 30  | 
 24  | 
 19  | 
 34  | 
| 
 9  | 
 16  | 
 30  | 
 25  | 
 18  | 
 35  | 
| 
 10  | 
 17  | 
 31  | 
 26  | 
 17  | 
 36  | 
| 
 11  | 
 19  | 
 30  | 
 27  | 
 18  | 
 37  | 
| 
 12  | 
 21  | 
 31  | 
 28  | 
 20  | 
 38  | 
| 
 13  | 
 24  | 
 30  | 
 29  | 
 22  | 
 40  | 
| 
 14  | 
 15  | 
 28  | 
 30  | 
 25  | 
 39  | 
| 
 15  | 
 15  | 
 32  | 
 31  | 
 24  | 
 43  | 
| 
 16  | 
 16  | 
 32  | 
 32  | 
 27  | 
 35  | 
PLEASE SHOW ALL YOUR WORK:
level 0.05? :
Answer,
a)
Using Excel
=correl (array1 ,array2) gives correlation
r = 0.6376
b)
data
| estriol | weight | 
| 7 | 25 | 
| 9 | 25 | 
| 9 | 25 | 
| 12 | 27 | 
| 14 | 27 | 
| 16 | 27 | 
| 16 | 24 | 
| 14 | 30 | 
| 16 | 30 | 
| 17 | 31 | 
| 19 | 30 | 
| 21 | 31 | 
| 24 | 30 | 
| 15 | 28 | 
| 15 | 32 | 
| 16 | 32 | 
| 17 | 32 | 
| 25 | 32 | 
| 27 | 34 | 
| 15 | 34 | 
| 15 | 34 | 
| 15 | 35 | 
| 16 | 35 | 
| 19 | 34 | 
| 18 | 35 | 
| 17 | 36 | 
| 18 | 37 | 
| 20 | 38 | 
| 22 | 40 | 
| 25 | 39 | 
| 24 | 43 | 
| 27 | 35 | 
Data -> data analysis -> regression
regression result
| SUMMARY OUTPUT      
            | 
|||||
| Regression Statistics      
        | 
|||||
| Multiple R          
    | 
0.637614732 | ||||
| R Square | 0.406552547          
    | 
||||
Adjusted R Square  | 
0.386770965 | ||||
| Standard Error      
        | 
3.674949902 | ||||
| Observations | 32          
    | 
||||
| ANOVA          
        | 
|||||
| df | SS | MS | F | Significance F | |
| Regression | 1 | 277.5610465 | 277.5610465 | 20.55207472 | 8.66755E-05 | 
| 
 Residual  | 
30 | 405.1577035 | 13.50525678 | ||
| Total   | 
31 | 682.71875 | |||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | 
|
| Intercept | 21.61409884 | 2.401184916 | 9.001430373 | 4.99722E-10 | 16.71022502 | 
| estriol | 0.598837209 | 0.132093346 | 4.533439612 | 8.66755E-05 | 0.329066606 | 
c)
p-value of slope = 0.00009 < alpha
hence we reject the null hypothesis
we conclude that coefficient if birthweight differ from 0 significantly
p-value of slope = 0.00009 < alpha
hence we reject the null hypothesis
we conclude that coefficient if birthweight differ from 0 significantly