In: Statistics and Probability
The eruption height and the time interval after eruption of a geyser were measured and are shown below. Answer parts a-c.
Height (x) Interval after (y)
140 75
130 71
115 59
140 73
112 64
110 56
100 54
120 68
a. Find the value of the linear correlation coefficient r.
b. Find the critical values of r from the table showing the critical values for the Pearson correlation coefficient using
α=0.05
c. Is there sufficient evidence to conclude that there is a linear correlation between the two variables?
Solution :
X | Y | XY | X^2 | Y^2 |
140 | 75 | 10500 | 19600 | 5625 |
130 | 71 | 9230 | 16900 | 5041 |
115 | 59 | 6785 | 13225 | 3481 |
140 | 73 | 10220 | 19600 | 5329 |
112 | 64 | 7168 | 12544 | 4096 |
110 | 56 | 6160 | 12100 | 3136 |
100 | 54 | 5400 | 10000 | 2916 |
120 | 68 | 8160 | 14400 | 4624 |
n | 8 |
sum(XY) | 63623.00 |
sum(X) | 967.00 |
sum(Y) | 520.00 |
sum(X^2) | 118369.00 |
sum(Y^2) | 34248.00 |
Numerator | 6144.00 |
Denominator | 6520.51 |
r | 0.9423 |
r square | 0.8879 |
Xbar(mean) | 120.8750 |
Ybar(mean) | 65.0000 |
SD(X) | 12.6984 |
SD(Y) | 7.1570 |
b | 0.5179 |
a | 2.3973 |
linear correlation coefficient = r = 0.9423
Critical value = 0.707
There is not sufficient evidence to conclude that there is a linear correlation between the two variables .