One earthquake occurred at 58° North latitude and had a magnitude of 1.4. What is the value of the residual for this earthquake?

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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. One earthquake occurred at 58° North latitude and had a magnitude of 1.4. What is
the value of the residual for this earthquake?
(A) –2.75
(В) —1.35
(C) 0.65
(D) 1.35
(E) 2.75
Transcribed Image Text:. One earthquake occurred at 58° North latitude and had a magnitude of 1.4. What is the value of the residual for this earthquake? (A) –2.75 (В) —1.35 (C) 0.65 (D) 1.35 (E) 2.75
The next four questions (29 to 32) refer to the following:
To most Canadians, earthquakes are viewed as rare occurrences, but they are actually
quite common. In just one month in 2001, Natural Resources Canada recorded 215
earthquakes that affected Canada from B.C. to Nunavut to Newfoundland. We would
like to determine whether there is a linear relationship between the location of an earth-
quake X (measured in degrees latitude north of the equator) and the magnitude of the
earthquake Y (measured on the Richter scale). The explanatory and response variables
are measured for a sample of 13 earthquakes. The equation of the least squares regression
line is ŷ = -3.05+ 0.10x. The ANOVA table is showm below:
ге
Source of Variation df Sum of Squares Mean Square
F
Regression
Error
Total
1.40
25.10
Transcribed Image Text:The next four questions (29 to 32) refer to the following: To most Canadians, earthquakes are viewed as rare occurrences, but they are actually quite common. In just one month in 2001, Natural Resources Canada recorded 215 earthquakes that affected Canada from B.C. to Nunavut to Newfoundland. We would like to determine whether there is a linear relationship between the location of an earth- quake X (measured in degrees latitude north of the equator) and the magnitude of the earthquake Y (measured on the Richter scale). The explanatory and response variables are measured for a sample of 13 earthquakes. The equation of the least squares regression line is ŷ = -3.05+ 0.10x. The ANOVA table is showm below: ге Source of Variation df Sum of Squares Mean Square F Regression Error Total 1.40 25.10
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