Question

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

9898

feet. Use a significance level of 0.05.

Height​ (ft)

108108

124124

108108

152152

109109

138138

137137

103103

Interval after​ (min)

7777

7373

8181

8787

6969

9191

9090

68

What is the regression equation?

What is the best predicted time for the interval after an eruption that is 98 feet​ high?

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
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 97 feet. Use a significance level of 0.05. Height (ft) 116 157 154 122 137 100 102 110 Interval after (min) 80 89 98 87 82 73 81 75 What...
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 131 feet. Use a significance level of 0.05. Height​ (ft) 96 128 75 128 88 73 80 96 Interval after​ (miN) 66 85 59 86 70 75 73 75 a)...
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 137 feet. Use a significance level of 0.05. Height (ft)   Interval after (min) 100   69 117   87 90   73 133   82 121   88 114   86 129   87 122   87 What...
6. The data show the time intervals after an eruption​ (to the next​ eruption) of a...
6. 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 111 feet. Use a significance level of 0.05. Height (ft)           Interval after (min) 136        80 144        76 140        78 151        94 115        69 129        75 160        93 123        72...
6. The data show the time intervals after an eruption​ (to the next​ eruption) of a...
6. 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 149 feet. Height​ (ft) 108 124 108 152 109 138 137 103 Interval after​ (min) 77 73 81 87 69 91 90 68 What is the regression​ equation? ​...
Problem # 8 The data show the bug chirps per minute at different temperatures. Find the...
Problem # 8 The data show the bug chirps per minute at different temperatures. Find the regression equation, letting the first variable be the independent (X) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted value? Regression Equation------------------------------------------------------------------ The best predicted temperature when a bug is chirping at 3000 chirps per minute is -------- -----...
The data show systolic and diastolic blood pressure of certain people. Find the regression​ equation, letting...
The data show systolic and diastolic blood pressure of certain people. Find the regression​ equation, letting the systolic reading be the independent​ (x) variable. Find the best predicted diastolic pressure for a person with a systolic reading of 137. Is the predicted value close to 91.3​, which was the actual diastolic​ reading? Use a significance level of 0.05. Systolic   Diastolic 122   62 134   71 143   80 140   80 135   100 113   59 110   82 145   105 What is the regression​...
The data show the bug chirps per minute at different temperatures. Find the regression​ equation, letting...
The data show the bug chirps per minute at different temperatures. Find the regression​ equation, letting the first variable be the independent​ (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted​ value? Chirps in 1 min   Temperature (°F) 981   77.7 987   79.8 1176   89 1008   82.2 760   68.6 1045   84.2 What is the regression​...
The data show the bug chirps per minute at different temperatures. Find the regression​ equation, letting...
The data show the bug chirps per minute at different temperatures. Find the regression​ equation, letting the first variable be the independent​ (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted​ value? Chirps in 1 mi 841 838 1012 787 1234 1185 Temperature ​(degrees°​F) 74.37 74.77 78.77 64.56 93 90.7 What is the regression​...
The data show the bug chirps per minute at different temperatures. Find the regression​ equation, letting...
The data show the bug chirps per minute at different temperatures. Find the regression​ equation, letting the first variable be the independent​ (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted​ value? Chirps in 1 min 10141014 957957 904904 919919 764764 10291029 Temperature ​(degrees°​F) 80.180.1 78.878.8 7575 73.273.2 65.965.9 82.882.8 What is the regression​...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT