The table below shows the corresponding values of two variables X and Y. X 33 31 28 25 23 22 19 17 16 14 Y 4 6 4 10 12 10 14 15 18 22 (a) Plot a scatter dia...
Assessment:WAEC SSCE - Further Mathematics - 2009Subject:Further Mathematics
The table below shows the corresponding values of two variables X and Y.
X
33
31
28
25
23
22
19
17
16
14
Y
4
6
4
10
12
10
14
15
18
22
(a) Plot a scatter diagram to represent the data.
(b) Calculate \(\bar{x}\), the mean of X and \(\bar{y}\), the mean of Y.
(c) Draw the line of best fit to pass through \((\bar{x}, \bar{y})\).
(d) From your graph in (c), determine the (i) relationship between X and Y ; (ii) value of Y when X is 24.
(a) Scatter diagram. The ten pairs \((33,4),(31,6),(28,4),(25,10),(23,12),(22,10),(19,14),(17,15),(16,18),(14,22)\) are plotted with \(X\) on the horizontal axis and \(Y\) on the vertical axis. The points trend from the upper-left down to the lower-right, showing that \(Y\) falls as \(X\) rises.
The ten data points with the least-squares line of best fit Y = 31.5 - 0.88X passing through the mean point (22.8, 11.5).
(c) Line of best fit. A single straight line is drawn through the mean point \((\bar{x},\bar{y})=(22.8,\,11.5)\) (marked ★ on the graph) with roughly equal numbers of points on either side. Its least-squares gradient is
(d)(i) Relationship. The line has a negative gradient, so there is a negative (inverse) correlation between \(X\) and \(Y\): as \(X\) increases, \(Y\) decreases.
(d)(ii) Value of \(Y\) when \(X=24\). Reading up from \(X=24\) to the line of best fit and across to the \(Y\)-axis, or substituting into the equation:
\[Y=31.5-0.88(24)=31.5-21.1=10.4\]
so \(Y\approx 10.5\) (about 10 to 11 from a hand-drawn line).
(a) Scatter diagram. The ten pairs \((33,4),(31,6),(28,4),(25,10),(23,12),(22,10),(19,14),(17,15),(16,18),(14,22)\) are plotted with \(X\) on the horizontal axis and \(Y\) on the vertical axis. The points trend from the upper-left down to the lower-right, showing that \(Y\) falls as \(X\) rises.
The ten data points with the least-squares line of best fit Y = 31.5 - 0.88X passing through the mean point (22.8, 11.5).
(c) Line of best fit. A single straight line is drawn through the mean point \((\bar{x},\bar{y})=(22.8,\,11.5)\) (marked ★ on the graph) with roughly equal numbers of points on either side. Its least-squares gradient is
(d)(i) Relationship. The line has a negative gradient, so there is a negative (inverse) correlation between \(X\) and \(Y\): as \(X\) increases, \(Y\) decreases.
(d)(ii) Value of \(Y\) when \(X=24\). Reading up from \(X=24\) to the line of best fit and across to the \(Y\)-axis, or substituting into the equation:
\[Y=31.5-0.88(24)=31.5-21.1=10.4\]
so \(Y\approx 10.5\) (about 10 to 11 from a hand-drawn line).