Elementary Statistics: A Step By Step Approach
9th Edition
ISBN: 9780073534985
Author: Allan Bluman
Publisher: McGraw-Hill Science/Engineering/Math
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Question
Chapter 10, Problem 10.1.1RE
a.
To determine
To construct: The
a.
Expert Solution
Answer to Problem 10.1.1RE
The scatterplot for the data is as follows,
Explanation of Solution
Given info:
The data represents the weekly average number of passengers per flight and the average one-way fare in dollars for common commercial routes.
Calculation:
Software procedure:
Step by step procedure to obtain scatterplot using the MINITAB software:
- Choose Graph > Scatterplot.
- Choose Simple and then click OK.
- Under Y variables, enter a column of Avg. one-way fare.
- Under X variables, enter a column of Avg. no.of passengers.
- Click OK.
b.
To determine
To compute: The value of the
b.
Expert Solution
Answer to Problem 10.1.1RE
The value of the
Explanation of Solution
Calculation:
Correlation coefficient r:
Software Procedure:
Step-by-step procedure to obtain the ‘correlation coefficient’ using the MINITAB software:
- Select Stat >Basic Statistics > Correlation.
- In Variables, select Avg. number of passengers and Avg. one-way fare from the box on the left.
- Click OK.
Output using the MINITAB software is given below:
Thus, the value of the correlation is –0.686.
c.
To determine
To test: The significance of the correlation coefficient at
c.
Expert Solution
Answer to Problem 10.1.1RE
The conclusion is that, there is no linear relation between the Avg. number of passengers and Avg. one-way fare.
Explanation of Solution
Given info:
The level of significance is
Calculation:
The hypotheses are given below:
Null hypothesis:
That is, there is no linear relation between the Avg. number of passengers and Avg. one-way fare.
Alternative hypothesis:
That is, there is a linear relation between the Avg. number of passengers and Avg. one-way fare.
The formula to obtain the degrees of the freedom is
That is,
From the “TABLE –I: Critical Values for the PPMC”, the critical value for 4 degrees of freedom and
Rejection Rule:
If the absolute value of r is greater than the critical value then reject the null hypothesis.
Conclusion:
From part (b), the value of the correlation of Avg. number of passengers and Avg. one-way fare is –0.686. That is the absolute value of r is 0.686.
Here, the absolute value of r is less than the critical value.
That is,
By the rejection rule, the null hypothesis is not rejected.
Therefore, there is no sufficient evidence to support the claim that “there is a linear relation between the Avg. number of passengers and Avg. one-way fare”.
d.
To determine
To find: The regression equation for the given data
d.
Expert Solution
Answer to Problem 10.1.1RE
The regression equation for the given data is not valid.
Explanation of Solution
It is observed that the r is not significant.
Thus, the regression is not valid.
e.
To determine
To plot: The regression line on the scatter plot if appropriate.
e.
Expert Solution
Answer to Problem 10.1.1RE
The regression line cannot be plotted in the scatterplot.
Explanation of Solution
From part (d), it is observed that the regression line is not valid.
Thus, it is inappropriate to plot the regression line on the scatter plot.
f.
To determine
To predict: The value of y for a specific value of x if appropriate.
f.
Expert Solution
Answer to Problem 10.1.1RE
The value of y for a specific value of x is not possible.
Explanation of Solution
From part (d) the regression line is not valid.
Therefore it is not possible to predict the value of y for a specific value of x.
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Chapter 10 Solutions
Elementary Statistics: A Step By Step Approach
Ch. 10.1 - Stopping Distances In a study on speed control, it...Ch. 10.1 - What is meant by the statement that two variables...Ch. 10.1 - How is a linear relationship between two variables...Ch. 10.1 - What is the symbol for the sample correlation...Ch. 10.1 - What is the range of values for the correlation...Ch. 10.1 - What is meant when the relationship between the...Ch. 10.1 - Prob. 6ECh. 10.1 - What is the diagram of the independent and...Ch. 10.1 - What is the name of the correlation coefficient...Ch. 10.1 - What statistical test is used to test the...
Ch. 10.1 - When two variables are correlated, can the...Ch. 10.1 - For Exercises 11 through 27, perform the following...Ch. 10.1 - Prob. 12ECh. 10.1 - Prob. 13ECh. 10.1 - For Exercises 11 through 27, perform the following...Ch. 10.1 - For Exercises 11 through 27, perform the following...Ch. 10.1 - For Exercises 11 through 27, perform the following...Ch. 10.1 - Prob. 17ECh. 10.1 - Prob. 18ECh. 10.1 - Prob. 19ECh. 10.1 - For Exercises 11 through 27, perform the following...Ch. 10.1 - For Exercises 11 through 27, perform the following...Ch. 10.1 - For Exercises 11 through 27, perform the following...Ch. 10.1 - Prob. 23ECh. 10.1 - For Exercises 11 through 27, perform the following...Ch. 10.1 - Prob. 25ECh. 10.1 - Prob. 26ECh. 10.1 - Prob. 27ECh. 10.1 - Prob. 28ECCh. 10.1 - Prob. 29ECCh. 10.1 - Prob. 30ECCh. 10.2 - Applying the Concepts 102 Stopping Distances...Ch. 10.2 - What two things should be done before one performs...Ch. 10.2 - What are the assumptions for regression analysis?Ch. 10.2 - Prob. 3ECh. 10.2 - What is the symbol for the slope? 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