Duration times and Interval after times for Old Faithful Geyser are listed in the following table. Duration (seconds) Interval After (minutes) 91 242 255 227 251 262 207 140 81 91 92 102 94 91 Using that data, a linear regression was performed by DESMOS. The resulting information and graph are below. r = 0.04636, m = 0.0067349, b = 90.1903 200- 100 100 200 a. Use the information to write the equation of the regression line. Is the line a good fit of the data? Explain. b. Find the best predicted interval after for a duration of 253 seconds.

Duration times and Interval after times for Old Faithful Geyser are listed in the following table. Duration (seconds) Interval After (minutes) 91 242 255 227 251 262 207 140 81 91 92 102 94 91 Using that data, a linear regression was performed by DESMOS. The resulting information and graph are below. r = 0.04636, m = 0.0067349, b = 90.1903 200- 100 100 200 a. Use the information to write the equation of the regression line. Is the line a good fit of the data? Explain. b. Find the best predicted interval after for a duration of 253 seconds.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

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Concept explainers

Confidence Intervals

When we calculate intervals in probability and statistics, it can be simply termed as finding out a confidence interval. The confidence interval is usually calculated from the data set which is observed. The value of the parameter that needs to be calculated is present here only.

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need help with statistics homework problem, the problem uses stats formulas and z scores

Duration times and Interval after times for Old Faithful Geyser are listed in the
following table.
Duration (seconds)
Interval After (minutes) 91
242 255 227 251
262 207 140
81
91
92
102 94
91
Using that data, a linear regression was performed by DESMOS. The resulting information and
graph are below.
r = 0.04636,
m = 0.0067349,
b = 90.1903
200-
100
100
200
a. Use the information to write the equation of the regression line. Is the line a good fit of the
data? Explain.
b. Find the best predicted interval after for a duration of 253 seconds.

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