6. The data in the table provided represent 13 randomly selected cases of seismic activity (earthquakes) from among those recorded between January 9 and February 8, 2001. x Latitude (°N) y Magnitude (ML) 60.0 77.5 50.7 | 65.6 | 48.2 | 63.5 | 49.2 | 60.3 | 52.6 | 52.8 64.3 49.3 | 48.3 4.1 4.0 2.6 2.8 0.9 2.2 3.0 4.1 1.2 1.1 5.5 2.7 0.9 a. Based on this data, does there appear to be a relationship between the recorded magnitude and the recorded latitude of seismic activity? If so, what is the relationship? b. If we learn that an earthquake has occurred at a latitude of 64°N, what would you predict the magnitude of that event to be? Be sure to include your regression equation here. 5
6. The data in the table provided represent 13 randomly selected cases of seismic activity (earthquakes) from among those recorded between January 9 and February 8, 2001. x Latitude (°N) y Magnitude (ML) 60.0 77.5 50.7 | 65.6 | 48.2 | 63.5 | 49.2 | 60.3 | 52.6 | 52.8 64.3 49.3 | 48.3 4.1 4.0 2.6 2.8 0.9 2.2 3.0 4.1 1.2 1.1 5.5 2.7 0.9 a. Based on this data, does there appear to be a relationship between the recorded magnitude and the recorded latitude of seismic activity? If so, what is the relationship? b. If we learn that an earthquake has occurred at a latitude of 64°N, what would you predict the magnitude of that event to be? Be sure to include your regression equation here. 5
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.2: Representing Data
Problem 24PFA
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Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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