In: Statistics and Probability
An unknown metal has been found and the following experimental
results have been tabulated in the table below. The table contains
the grams of the unknown metal and the volume in milliliters of
water displacement. Find a linear model that expresses
mass as a function of the
volume.
grams | Volume in ml |
---|---|
14 | 161.9 |
16.5 | 189 |
19 | 215.5 |
21.5 | 248.7 |
24 | 272.2 |
26.5 | 303.5 |
29 | 335.4 |
A) Write the linear regression equation for the data in the
chart.
Volume = x+ where x is the grams of the unknown metal. Round
your answers to 3 decimal places
B) If the mass of an unknown metal is 12, using your un-rounded regression equation find its predicted volume. Round your answer to 1 decimal place. mL
Solution:
X | Y | XY | X^2 | Y^2 |
14 | 161.9 | 2266.6 | 196 | 26211.61 |
16.5 | 189 | 3118.5 | 272.25 | 35721 |
19 | 215.5 | 4094.5 | 361 | 46440.25 |
21.5 | 248.7 | 5347.05 | 462.25 | 61851.69 |
24 | 272.2 | 6532.8 | 576 | 74092.84 |
26.5 | 303.5 | 8042.75 | 702.25 | 92112.25 |
29 | 335.4 | 9726.6 | 841 | 112493.16 |
n | 7 |
sum(XY) | 39128.80 |
sum(X) | 150.50 |
sum(Y) | 1726.20 |
sum(X^2) | 3410.75 |
sum(Y^2) | 448922.80 |
,
So ,
b = 11.5171 and a = -1.0186
A) Write the linear regression equation for the data in the chart.
The equation of the regression line is
= bx + a
= 11.517 * x + (-1.019)
i.e.
Volume = 11.517 * x + (-1.019)
B) If the mass of an unknown metal is 12, using your un-rounded regression equation find its predicted volume. Round your answer to 1 decimal place. mL
Put x = 12 in the regression equation.
Volume = [ 11.517 * 12] + (-1.019)
Volume = 137.2