Answer:
23.41, There is a significant association between the two variables.
Step-by-step explanation:
Sample size n = 25
the investigators calculated the regression of head circum- ference (measured in centimeters) against gestational age (measured in weeks). The estimated regression line is
head circumference = 3.91 + 0.78 x gestational age
a) when gestational age = 28 weeks we substitute 28 to get
head circumference [tex]= 3.91 + 0.78 *25= 23.41[/tex]
b) Set up hypotheses as
[tex]H_0: \beta=0\\B_a: \beta\neq 0[/tex]
(Two tailed test for slope coefficient)
Beta difference = 0.78
Std error = 0.35
df = 23
t statistic = beta diff/std error = [tex]\frac{0.78}{0.35} \\=2.229[/tex]
p value = 0.0359
Since p value <0.05, at 5% significant level we reject H0
There is a significant association between the two variables.