In: Math
height and head circumference. The data are summarized below. Complete parts (a) through (f) below.
Height (inches), x |
2727 |
27.527.5 |
26.526.5 |
2626 |
24.524.5 |
|
---|---|---|---|---|---|---|
Head Circumference (inches), y |
17.517.5 |
17.517.5 |
17.317.3 |
17.317.3 |
17.117.1 |
(a) Treating height as the explanatory variable, x, use technology to determine the estimates of
beta 0β0
and
beta 1β1.
beta 0β0almost equals≈b 0b0equals=
nothing (Round to four decimal places as needed.)beta 1β1almost equals≈b 1b1equals=
nothing (Round to four decimal places as needed.)
B Use technology to compute the standard error of the estimate,
s Subscript ese.
s Subscript eseequals=
(Round to four decimal places as needed.)
(c) A normal probability plot suggests that the residuals are normally distributed. Use technology to determine
s Subscript b 1sb1.
s Subscript b 1sb1equals=
(Round to four decimal places as needed.)
(d) A normal probability plot suggests that the residuals are normally distributed. Test whether a linear relation exists between height and head circumference at the
alphaαequals=0.010.01
level of significance. State the null and alternative hypotheses for this test.
Choose the correct answer below.
A.
Upper H 0H0:
beta 1β1equals=0
Upper H 1H1:
beta 1β1not equals≠0
Your answer is correct.
B.
Upper H 0H0:
beta 1β1equals=0
Upper H 1H1:
beta 1β1greater than>0
C.
Upper H 0H0:
beta 0β0equals=0
Upper H 1H1:
beta 0β0greater than>0
D.
Upper H 0H0:
beta 0β0equals=0
Upper H 1H1:
beta 0β0not equals≠0
Determine the P-value for this hypothesis test.
P-valueequals=
(Round to three decimal places as needed.)
What is the conclusion that can be drawn?
A.
RejectReject
Upper H 0H0
and conclude that a linear relation
existsexists
between a child's height and head circumference at the level of significance
alphaαequals=0.010.01.
Your answer is correct.
B.
Do not rejectDo not reject
Upper H 0H0
and conclude that a linear relation
does not existdoes not exist
between a child's height and head circumference at the level of significance
alphaαequals=0.010.01.
C.
RejectReject
Upper H 0H0
and conclude that a linear relation
does not existdoes not exist
between a child's height and head circumference at the level of significance
alphaαequals=0.010.01.
D.
Do not rejectDo not reject
Upper H 0H0
and conclude that a linear relation
existsexists
between a child's height and head circumference at the level of significance
alphaαequals=0.010.01.
(e) Use technology to
construct
a 95% confidence interval about the slope of the true least-squares regression line.
Lower bound:
Upper bound: 0.351
(Round to three places as needed.)
(f) Suppose a child has a height of 26.5 inches. What would be a good guess for the child's head circumference?
A good stimate of the child's head circumference would be inches.
(Round to two decimal places as needed.)
I used R software to solve this question.
R codes:
> x=c(27,27.5,26.5,26,24.5)
> y=c(17.5,17.5,17.3,17.3,17.1)
> fit=lm(y~x)
> summary(fit)
Call:
lm(formula = y ~ x)
Residuals:
1 2 3 4 5
0.062264 -0.007547 -0.067925 0.001887 0.011321
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 13.66792 0.61494 22.227 0.000199 ***
x 0.13962 0.02336 5.976 0.009378 **
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 0.05379 on 3 degrees of freedom
Multiple R-squared: 0.9225, Adjusted R-squared: 0.8967
F-statistic: 35.71 on 1 and 3 DF, p-value: 0.009378
a.
13.6679
0.1396
b. Standard errors of the estimates:
SE () = 0.6149
c.
SE () = 0.0234
d.
Hypothesis:
H0: = 0
H1 : 0
P value = 0.009
Conclusion:
Reject under H0 and conclude that a linear relation exist between height and head circumference at the level of significance alpha = 0.01.
e. Confidence interval:
> confint(fit)
2.5 % 97.5 %
(Intercept) 11.71092027 15.6249288
x 0.06526878 0.2139765
95% confidence interval for slope is
lower bound = 0.065
upper bound = 0.214
f.
height = x= 26.5 then head circumference is calculated as follows:
head circumference = 13.6679 + 0.1396 * 26.5
= 17.3673
head circumference = 17.37