In: Statistics and Probability
Medical researchers have noted that adolescent females are much more likely to deliver low-birth-weight babies than are adult females. Because low-birth-weight babies have a higher mortality rate, a number of studies have examined the relationship between birth weight and mother's age. One such study is described in the article "Body Size and Intelligence in 6-Year-Olds: Are Offspring of Teenage Mothers at Risk?"† The following data on maternal age (in years) and birth weight of baby (in grams) are consistent with summary values given in the article and also with data published by the National Center for Health Statistics.
Mother's age | 15 | 17 | 18 | 15 | 16 | 19 | 17 | 16 | 18 | 19 |
---|---|---|---|---|---|---|---|---|---|---|
Birth weight | 2,289 | 3,423 | 3,301 | 2,618 | 2,927 | 3,357 | 2,970 | 2,505 | 3,138 | 3,543 |
A) Find the equation of the least squares regression line?
ŷ =......... + (.........)x
B) Use the regression line to predict for birth weight, in grams, of a baby born to a 15-year-old mother?
......... g
Solution:
n = 10
X | Y | XY | X2 | Y2 | |
15 | 2289 | 34335 | 225 | 5239521 | |
17 | 3423 | 58191 | 289 | 11716929 | |
18 | 3301 | 59418 | 324 | 10896601 | |
15 | 2618 | 39270 | 225 | 6853924 | |
16 | 2927 | 46832 | 256 | 8567329 | |
19 | 3357 | 63783 | 361 | 11269449 | |
17 | 2970 | 50490 | 289 | 8820900 | |
16 | 2505 | 40080 | 256 | 6275025 | |
18 | 3138 | 56484 | 324 | 9847044 | |
19 | 3543 | 67317 | 361 | 12552849 | |
Sum | 170 | 30071 | 516200 | 2910 | 92039571 |
Now ,
Slope of the regression line is
b = 249.65
Now , y intercept of the line is
a = -1236.95
The equation of the regression line is
= a + bx
= -1236.95 + (249.65)x
B)
For x = 15 , find the predicted value of y .
Put x = 15 in the regression line equation.
= -1236.95 + [(249.65) * 15 ] = 2507.8
Answer: 2507.8 g