The number of consumer complaints against the top airlines during the first six months of 2010 is given in the table to the right. Complete parts a through c. Airline Complaints Full data Complaints per 100,000 Passengers Boarding A 1177 2.21 B 670 1.54 C 483 1.81 D 429 1.67 E 360 1.63 F 145 0.31 G 78 0.68 H 65 0.87 I 53 0.73 J 36 0.46 a. By considering the numbers in the column labeled "Complaints," calculate the mean and median number of complaints per airline. The mean is ____ (Type an integer or a decimal.) The median is ____ (Type an integer or a decimal.) b. Explain why the averages found in part a are not meaningful. Choose the correct answer below. A. The average ticket price is unknown. B. The flight duration is unknown. C. The number of passengers boarding is not taken into consideration. c. Find the mean and median of the numbers in the column labeled "Complaints per 100,000 Passengers Boarding." Discuss whether these averages are meaningful. The mean is _____ (Type an integer or a decimal.) The median is _____ (Type an integer or a decimal.) Are these averages meaningful? A. The averages are not meaningful because the number of passengers boarding is not taken into consideration. B. The averages are meaningful because the number of passengers boarding is not taken into consideration. C. The averages are meaningful because the number of passengers boarding is taken into consideration. D. The averages are not meaningful because the number of passengers boarding is taken into consideration.
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
Airline
|
Complaints
|
Full data Complaints per 100,000 Passengers Boarding
|
---|---|---|
A
|
1177
|
2.21
|
B
|
670
|
1.54
|
C
|
483
|
1.81
|
D
|
429
|
1.67
|
E
|
360
|
1.63
|
F
|
145
|
0.31
|
G
|
78
|
0.68
|
H
|
65
|
0.87
|
I
|
53
|
0.73
|
J
|
36
|
0.46
|
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