In: Statistics and Probability
The data show the time intervals after an eruption (to the next eruption) of a certain geyser. Find the regression equation, letting the first variable be the independent (x) variable. Find the best predicted time of the interval after an eruption given that the current eruption has a height of 126 feet. Use a significance level of 0.05.
Height (ft) Interval after (min)
84 76
122 77
78 67
108 87
73 61
105 77
122 87
78 70
What is the regression equation?
What is the best predicted time for the interval after an eruption that is 126 feet high?
Solution:
From given data , we prepare a table.
X | Y | XY | X^2 | Y^2 |
84 | 76 | 6384 | 7056 | 5776 |
122 | 77 | 9394 | 14884 | 5929 |
78 | 67 | 5226 | 6084 | 4489 |
108 | 87 | 9396 | 11664 | 7569 |
73 | 61 | 4453 | 5329 | 3721 |
105 | 77 | 8085 | 11025 | 5929 |
122 | 87 | 10614 | 14884 | 7569 |
78 | 70 | 5460 | 6084 | 4900 |
n | 8 |
sum(XY) | 59012.00 |
sum(X) | 770.00 |
sum(Y) | 602.00 |
sum(X^2) | 77010.00 |
sum(Y^2) | 45882.00 |
b | 0.3691 |
a | 39.7230 |
Now ,
Slope of the regression line is
b = 0.3691
Now , y intercept of the line is
a = 39.7230
The equation of the regression line is
= a + bx
Answer: = 39.7230 +0.3691X
For x = 126 , find the predicted value of y .
Put x = 126 in the regression line equation.
= a + bx
= 39.7230 + (0.3691 * 126)
Answer: y = 86.2296