Pizza and the Subway. For Exercises 1–6, refer to the following table that lists the cost (in dollars) of a slice of pizza in New York City and the subway fare in the same year. 1. Construct a scatterplot . What does the result suggest?

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Answer 1

Textbook Question

Chapter 7, Problem 1CRE

Pizza and the Subway. For Exercises 1–6, refer to the following table that lists the cost (in dollars) of a slice of pizza in New York City and the subway fare in the same year.

Chapter 7, Problem 1CRE, Pizza and the Subway. For Exercises 16, refer to the following table that lists the cost (in

1. Construct a scatterplot. What does the result suggest?

Expert Solution & Answer

To determine

Draw a scatter plot.

Explain the result from the scatter plot.

Answer to Problem 1CRE

The scatter plot is given below:

Statistical Reasoning for Everyday Life (5th Edition), Chapter 7, Problem 1CRE , additional homework tip 1

Explanation of Solution

Calculation:

The costs of a slice of pizza and the subway fares in New York for a year are given.

Best-fit line:

In a scatter plot, the best possible straight line, which is closest to the points is called best-fit line.

Scatter plot with fitted line:

Software procedure:

Step-by-step software procedure to draw scatter plot using EXCEL software is as follows:

Open an EXCEL file.
In column A and B, the Pizza cost and Subway fare data were entered.
Select the data > click on insert.
Chose X Y (Scatter) from chart.
Click OK.
Click on the data points>right click> add trendline.
Choose linear.
Click on display equation on chart and display R-squared value on chart.
Output using EXCEL software is given below:

Statistical Reasoning for Everyday Life (5th Edition), Chapter 7, Problem 1CRE , additional homework tip 2

From the above scatter plot, it can be said that all the points are nearer to the best fitted line.

The coefficient of determination is 98.36%. Thus, 98.36% variability in subway fare can be explained by the pizza cost using the best fitted model.

Hence, it can be said that the fit is very good.

Moreover, it can be said that for increasing pizza cost, the subway fare has also increased and the trend line is an ascending trend line. Therefore, there is a strong positive correlation between the variables.

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Answer 2

Textbook Question

Chapter 7, Problem 1CRE

Pizza and the Subway. For Exercises 1–6, refer to the following table that lists the cost (in dollars) of a slice of pizza in New York City and the subway fare in the same year.

Chapter 7, Problem 1CRE, Pizza and the Subway. For Exercises 16, refer to the following table that lists the cost (in

1. Construct a scatterplot. What does the result suggest?

Expert Solution & Answer

To determine

Draw a scatter plot.

Explain the result from the scatter plot.

Answer to Problem 1CRE

The scatter plot is given below:

Statistical Reasoning for Everyday Life (5th Edition), Chapter 7, Problem 1CRE , additional homework tip 1

Explanation of Solution

Calculation:

The costs of a slice of pizza and the subway fares in New York for a year are given.

Best-fit line:

In a scatter plot, the best possible straight line, which is closest to the points is called best-fit line.

Scatter plot with fitted line:

Software procedure:

Step-by-step software procedure to draw scatter plot using EXCEL software is as follows:

Open an EXCEL file.
In column A and B, the Pizza cost and Subway fare data were entered.
Select the data > click on insert.
Chose X Y (Scatter) from chart.
Click OK.
Click on the data points>right click> add trendline.
Choose linear.
Click on display equation on chart and display R-squared value on chart.
Output using EXCEL software is given below:

Statistical Reasoning for Everyday Life (5th Edition), Chapter 7, Problem 1CRE , additional homework tip 2

From the above scatter plot, it can be said that all the points are nearer to the best fitted line.

The coefficient of determination is 98.36%. Thus, 98.36% variability in subway fare can be explained by the pizza cost using the best fitted model.

Hence, it can be said that the fit is very good.

Moreover, it can be said that for increasing pizza cost, the subway fare has also increased and the trend line is an ascending trend line. Therefore, there is a strong positive correlation between the variables.

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Answer 3

Textbook Question

Chapter 7, Problem 1CRE

Pizza and the Subway. For Exercises 1–6, refer to the following table that lists the cost (in dollars) of a slice of pizza in New York City and the subway fare in the same year.

Chapter 7, Problem 1CRE, Pizza and the Subway. For Exercises 16, refer to the following table that lists the cost (in

1. Construct a scatterplot. What does the result suggest?

Expert Solution & Answer

To determine

Draw a scatter plot.

Explain the result from the scatter plot.

Answer to Problem 1CRE

The scatter plot is given below:

Statistical Reasoning for Everyday Life (5th Edition), Chapter 7, Problem 1CRE , additional homework tip 1

Explanation of Solution

Calculation:

The costs of a slice of pizza and the subway fares in New York for a year are given.

Best-fit line:

In a scatter plot, the best possible straight line, which is closest to the points is called best-fit line.

Scatter plot with fitted line:

Software procedure:

Step-by-step software procedure to draw scatter plot using EXCEL software is as follows:

Open an EXCEL file.
In column A and B, the Pizza cost and Subway fare data were entered.
Select the data > click on insert.
Chose X Y (Scatter) from chart.
Click OK.
Click on the data points>right click> add trendline.
Choose linear.
Click on display equation on chart and display R-squared value on chart.
Output using EXCEL software is given below:

Statistical Reasoning for Everyday Life (5th Edition), Chapter 7, Problem 1CRE , additional homework tip 2

From the above scatter plot, it can be said that all the points are nearer to the best fitted line.

The coefficient of determination is 98.36%. Thus, 98.36% variability in subway fare can be explained by the pizza cost using the best fitted model.

Hence, it can be said that the fit is very good.

Moreover, it can be said that for increasing pizza cost, the subway fare has also increased and the trend line is an ascending trend line. Therefore, there is a strong positive correlation between the variables.

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Answer 4

Textbook Question

Chapter 7, Problem 1CRE

Pizza and the Subway. For Exercises 1–6, refer to the following table that lists the cost (in dollars) of a slice of pizza in New York City and the subway fare in the same year.

Chapter 7, Problem 1CRE, Pizza and the Subway. For Exercises 16, refer to the following table that lists the cost (in

1. Construct a scatterplot. What does the result suggest?

Expert Solution & Answer

To determine

Draw a scatter plot.

Explain the result from the scatter plot.

Answer to Problem 1CRE

The scatter plot is given below:

Statistical Reasoning for Everyday Life (5th Edition), Chapter 7, Problem 1CRE , additional homework tip 1

Explanation of Solution

Calculation:

The costs of a slice of pizza and the subway fares in New York for a year are given.

Best-fit line:

In a scatter plot, the best possible straight line, which is closest to the points is called best-fit line.

Scatter plot with fitted line:

Software procedure:

Step-by-step software procedure to draw scatter plot using EXCEL software is as follows:

Open an EXCEL file.
In column A and B, the Pizza cost and Subway fare data were entered.
Select the data > click on insert.
Chose X Y (Scatter) from chart.
Click OK.
Click on the data points>right click> add trendline.
Choose linear.
Click on display equation on chart and display R-squared value on chart.
Output using EXCEL software is given below:

Statistical Reasoning for Everyday Life (5th Edition), Chapter 7, Problem 1CRE , additional homework tip 2

From the above scatter plot, it can be said that all the points are nearer to the best fitted line.

The coefficient of determination is 98.36%. Thus, 98.36% variability in subway fare can be explained by the pizza cost using the best fitted model.

Hence, it can be said that the fit is very good.

Moreover, it can be said that for increasing pizza cost, the subway fare has also increased and the trend line is an ascending trend line. Therefore, there is a strong positive correlation between the variables.

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Answer 5

Textbook Question

Answer 6

Textbook Question

Answer 7

Expert Solution & Answer

To determine

Draw a scatter plot.

Explain the result from the scatter plot.

Answer to Problem 1CRE

The scatter plot is given below:

Statistical Reasoning for Everyday Life (5th Edition), Chapter 7, Problem 1CRE , additional homework tip 1

Explanation of Solution

Calculation:

The costs of a slice of pizza and the subway fares in New York for a year are given.

Best-fit line:

In a scatter plot, the best possible straight line, which is closest to the points is called best-fit line.

Scatter plot with fitted line:

Software procedure:

Step-by-step software procedure to draw scatter plot using EXCEL software is as follows:

Open an EXCEL file.
In column A and B, the Pizza cost and Subway fare data were entered.
Select the data > click on insert.
Chose X Y (Scatter) from chart.
Click OK.
Click on the data points>right click> add trendline.
Choose linear.
Click on display equation on chart and display R-squared value on chart.
Output using EXCEL software is given below:

Statistical Reasoning for Everyday Life (5th Edition), Chapter 7, Problem 1CRE , additional homework tip 2

From the above scatter plot, it can be said that all the points are nearer to the best fitted line.

The coefficient of determination is 98.36%. Thus, 98.36% variability in subway fare can be explained by the pizza cost using the best fitted model.

Hence, it can be said that the fit is very good.

Moreover, it can be said that for increasing pizza cost, the subway fare has also increased and the trend line is an ascending trend line. Therefore, there is a strong positive correlation between the variables.

Answer 8

Expert Solution & Answer

To determine

Draw a scatter plot.

Explain the result from the scatter plot.

Answer to Problem 1CRE

The scatter plot is given below:

Statistical Reasoning for Everyday Life (5th Edition), Chapter 7, Problem 1CRE , additional homework tip 1

Explanation of Solution

Calculation:

The costs of a slice of pizza and the subway fares in New York for a year are given.

Best-fit line:

In a scatter plot, the best possible straight line, which is closest to the points is called best-fit line.

Scatter plot with fitted line:

Software procedure:

Step-by-step software procedure to draw scatter plot using EXCEL software is as follows:

Open an EXCEL file.
In column A and B, the Pizza cost and Subway fare data were entered.
Select the data > click on insert.
Chose X Y (Scatter) from chart.
Click OK.
Click on the data points>right click> add trendline.
Choose linear.
Click on display equation on chart and display R-squared value on chart.
Output using EXCEL software is given below:

Statistical Reasoning for Everyday Life (5th Edition), Chapter 7, Problem 1CRE , additional homework tip 2

From the above scatter plot, it can be said that all the points are nearer to the best fitted line.

The coefficient of determination is 98.36%. Thus, 98.36% variability in subway fare can be explained by the pizza cost using the best fitted model.

Hence, it can be said that the fit is very good.

Moreover, it can be said that for increasing pizza cost, the subway fare has also increased and the trend line is an ascending trend line. Therefore, there is a strong positive correlation between the variables.

Answer 9

Expert Solution & Answer

Answer 10

Expert Solution & Answer

Answer 11

To determine

Draw a scatter plot.

Explain the result from the scatter plot.

Answer 12

Answer to Problem 1CRE

The scatter plot is given below:

Statistical Reasoning for Everyday Life (5th Edition), Chapter 7, Problem 1CRE , additional homework tip 1

Answer 13

Explanation of Solution

Calculation:

The costs of a slice of pizza and the subway fares in New York for a year are given.

Best-fit line:

In a scatter plot, the best possible straight line, which is closest to the points is called best-fit line.

Scatter plot with fitted line:

Software procedure:

Step-by-step software procedure to draw scatter plot using EXCEL software is as follows:

Open an EXCEL file.
In column A and B, the Pizza cost and Subway fare data were entered.
Select the data > click on insert.
Chose X Y (Scatter) from chart.
Click OK.
Click on the data points>right click> add trendline.
Choose linear.
Click on display equation on chart and display R-squared value on chart.
Output using EXCEL software is given below:

Statistical Reasoning for Everyday Life (5th Edition), Chapter 7, Problem 1CRE , additional homework tip 2

From the above scatter plot, it can be said that all the points are nearer to the best fitted line.

The coefficient of determination is 98.36%. Thus, 98.36% variability in subway fare can be explained by the pizza cost using the best fitted model.

Hence, it can be said that the fit is very good.

Moreover, it can be said that for increasing pizza cost, the subway fare has also increased and the trend line is an ascending trend line. Therefore, there is a strong positive correlation between the variables.

Answer 14

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Pizza and the Subway. For Exercises 1–6, refer to the following table that lists the cost (in dollars) of a slice of pizza in New York City and the subway fare in the same year. 1. Construct a scatterplot . What does the result suggest?

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