The table below gives the age and bone density for five randomly selected women. Using this data, consider the equation of the regression line, y^=b0+b1x, for predicting a woman's bone density based on her age. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant.
Age | 40 | 41 | 42 | 43 | 63 |
---|---|---|---|---|---|
Bone Density | 353 | 344 | 328 | 326 | 322 |
Step 5
Find the estimated value of y when x=42.
X | Y | XY | X^2 | Y^2 |
40 | 353 | 14120 | 1600 | 124609 |
41 | 344 | 14104 | 1681 | 118336 |
42 | 328 | 13776 | 1764 | 107584 |
43 | 326 | 14018 | 1849 | 106276 |
63 | 322 | 20286 | 3969 | 103684 |
From the above table and formula we get the value are as:
n | 5 |
sum(XY) | 76304.00 |
sum(X) | 229.00 |
sum(Y) | 1673.00 |
sum(X^2) | 10863.00 |
sum(Y^2) | 560489.00 |
b | -0.8522 |
a | 373.6302 |
ycap = a + bx
ycap = 373.6302 - 0.8522x
when x = 42
Estimated value = 373.6302 - 0.8522 * 42
= 337.84
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