Question

In: Statistics and Probability

The data show the time intervals after an eruption (to the next eruption) of a certain...

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

120

feet. Use a significance level of 0.05.

Height (ft)

Height (ft)   Interval after (min)
96   68
111   80
76   66
91   72
66   58
108   79
116   84
91   79

What is the regression equation?

(Round to two decimal places as needed.)

What is the best predicted time for the interval after an eruption that is 120 feet high?

The best predicted interval time for an eruption that is 120 feet high is

​(Round to one decimal place as​ needed.)

Solutions

Expert Solution

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 120 feet. Use a significance level of 0.05.

Height (ft)   Interval after (min)
96   68
111   80
76   66
91   72
66   58
108   79
116   84
91   79

What is the regression equation?

Interval after (min) = 29.83+0.46* Height (ft)  

(Round to two decimal places as needed.)

What is the best predicted time for the interval after an eruption that is 120 feet high?

The best predicted interval time for an eruption that is 120 feet high is

​Predicted Interval after (min) = 29.83+0.46* 120 =  85.03

=85.0 ( one decimal)

(Round to one decimal place as​ needed.)

Regression Analysis

0.820

n

8

r

0.906

k

1

Std. Error

4.029

Dep. Var.

Intervalafter(min)

ANOVA table

Source

SS

df

MS

F

p-value

Regression

444.1197

1  

444.1197

27.36

.0020

Residual

97.3803

6  

16.2301

Total

541.5000

7  

Regression output

confidence interval

variables

coefficients

std. error

   t (df=6)

p-value

95% lower

95% upper

Intercept

29.8273

8.4223

3.541

.0122

9.2188

50.4358

Height(ft)  

0.4601

0.0880

5.231

.0020

0.2449

0.6753

Predicted values for: Intervalafter(min)

95% Confidence Interval

95% Prediction Interval

Height(ft)  

Predicted

lower

upper

lower

upper

Leverage

120

85.040

78.516

91.564

73.219

96.861

0.438


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