Question
Modern medical practice tells us not to encourage babies to become too fat. Is there a positive correlation between the weight x of a 1-year
Modern medical practice tells us not to encourage babies to become too fat. Is there a positive correlation between the weight x of a 1-year old baby and the weight y of the mature adult (30 years old)? A random sample of medical files produced the following information for 14 females.
x (lb) 22 27 25 24 20 15 25 21 17 24 26 22 18 19
y (lb) 122 120 116 121 130 120 145 130 130 130 130 140 110 115
In this setting we have x = 305, y = 1759, x2 = 6815, y2 = 222,231, and xy = 38,438.
(e) If a female baby weighs 24 pounds at 1 year, what do you predict she will weigh at 30 years of age? (Round your answer to two decimal places.)
________lb
(f) Find Se. (Round your answer to two decimal places.)
Se =
(g) Find a 95% confidence interval for weight at age 30 of a female who weighed 24 pounds at 1 year of age. (Round your answers to two decimal places.)
lower limitlb upper limitlb
(h) Test the claim that the slope of the population least-squares line is positive at the 1% level of significance. (Round your test statistic to three decimal places.)
t =
Find or estimate the P-value of the test statistic.
P-value > 0.250
0.125 < P-value < 0.250
0.100 < P-value < 0.125
0.075 < P-value < 0.100
0.050 < P-value < 0.075
0.025 < P-value < 0.050
0.010 < P-value < 0.025
0.005 < P-value < 0.010
0.0005 < P-value < 0.005
P-value < 0.0005
Conclusion
Reject the null hypothesis. There is sufficient evidence that > 0.
Reject the null hypothesis. There is insufficient evidence that > 0.
Fail to reject the null hypothesis. There is sufficient evidence that > 0.
Fail to reject the null hypothesis. There is insufficient evidence that > 0.
(i) Find an 80% confidence interval for and interpret its meaning. (Round your answers to three decimal places.)
lower limit
upper limit
Interpretation
For each pound less a female infant weighs at 1 year, the adult weight increases by an amount that falls within the confidence interval.
For each pound more a female infant weighs at 1 year, the adult weight increases by an amount that falls outside the confidence interval.
For each pound less a female infant weighs at 1 year, the adult weight increases by an amount that falls outside the confidence interval.
For each pound more a female infant weighs at 1 year, the adult weight increases by an amount that falls within the confidence interval.
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