Chapter 6, Problem 48P

1.

To determine

Introduction: A scatterplot is used to determine the relationship between the two variables or check whether the two variables of the data set are related or not. A scatterplot can provide a general understanding of how the two variables are related.

To construct: The scatterplot for the provided data set.

2.

To determine

Introduction: The regression equation between the dependent variable $y$ and the independent variable $x$

can be represented by the following equation:

  $y=a+bx$

In the above regression equation, the values $a$ and $b$ are the constants of the equation.

To construct: The excel spreadsheet to find the least square regression equation. Also, estimate the variable and fixed cost components.

3.

To determine

Introduction: The regression equation between the dependent variable $y$ and the independent variable $x$

can be represented by the following equation:

  $y=a+bx$

In the above regression equation, the values $a$ and $b$ are the constants of the equation.

To find: The least square regression equation.

4.

To determine

Introduction: The regression equation between the dependent variable $y$ and the independent variable $x$

can be represented by the following equation:

  $y=a+bx$

In the above regression equation, the values $a$ and $b$ are the constants of the equation.

To find: The cost of the airport if it is known that the number of flights that originated at the airport is 1600.

5.

To determine

Introduction: The coefficient of determination is the proportion of the variance of the dependent variable that could be predicted from the independent variable.

To find: The coefficient of determination using the spreadsheet constructed in subpart (2). Also, interpret it.