Question

College GPA and Salary. Do students with higher college grade point averages (GPAs) earn more than those graduates with lower GPAs (CivicScience)? Consider the college GPA and salary data (10 years after graduation) provided in the file GPASalary.

a. Develop a scatter diagram for these data with college GPA as the independent variable. PLEASE MAKE SIMPLE GRAPH. What does the scatter diagram indicate about the relationship between the two variables?

GPA Salary
2.21 71000
2.28 49000
2.56 71000
2.58 63000
2.76 87000
2.85 97000
3.11 134000
3.35 130000
3.67 156000
3.69 161000

Answer 1

A scatter diagram with college GPA as the independent variable and salary as the dependent variable can visually indicate the relationship between GPA and salary. Higher GPAs associated with higher salaries would imply a positive correlation, while a scattered plot without a pattern suggests a weak relationship.

Step-by-step explanation:

When analyzing the relationship between college GPA and salary, constructing a scatter diagram can provide a visual representation of any potential correlation. Our scatter diagram would plot GPA on the x-axis as the independent variable and salary 10 years after graduation on the y-axis as the dependent variable. According to the data provided, a simple scatter plot would reveal individual points representing the GPAs and corresponding salaries for different students.

To construct this, we would place each GPA along the x-axis and its matching salary on the y-axis, resulting in points like (2.21, 71000), (3.69, 161000), and others in between.

Looking at the scatter diagram, we can look for any observable trend. If higher GPAs tend to be associated with higher salaries, the points would generally trend upwards. Contrarily, if there's no clear trend and the points are scattered without discernible pattern, this could suggest that the relationship between GPA and salary is weak or non-existent.

Answer 2

A scatter diagram with college GPA as the independent variable and salary as the dependent variable can visually indicate the relationship between GPA and salary. Higher GPAs associated with higher salaries would imply a positive correlation, while a scattered plot without a pattern suggests a weak relationship.

Step-by-step explanation:

When analyzing the relationship between college GPA and salary, constructing a scatter diagram can provide a visual representation of any potential correlation. Our scatter diagram would plot GPA on the x-axis as the independent variable and salary 10 years after graduation on the y-axis as the dependent variable. According to the data provided, a simple scatter plot would reveal individual points representing the GPAs and corresponding salaries for different students.

To construct this, we would place each GPA along the x-axis and its matching salary on the y-axis, resulting in points like (2.21, 71000), (3.69, 161000), and others in between.

Looking at the scatter diagram, we can look for any observable trend. If higher GPAs tend to be associated with higher salaries, the points would generally trend upwards. Contrarily, if there's no clear trend and the points are scattered without discernible pattern, this could suggest that the relationship between GPA and salary is weak or non-existent.

Answer 3

A scatter diagram with college GPA as the independent variable and salary as the dependent variable can visually indicate the relationship between GPA and salary. Higher GPAs associated with higher salaries would imply a positive correlation, while a scattered plot without a pattern suggests a weak relationship.

Step-by-step explanation:

When analyzing the relationship between college GPA and salary, constructing a scatter diagram can provide a visual representation of any potential correlation. Our scatter diagram would plot GPA on the x-axis as the independent variable and salary 10 years after graduation on the y-axis as the dependent variable. According to the data provided, a simple scatter plot would reveal individual points representing the GPAs and corresponding salaries for different students.

To construct this, we would place each GPA along the x-axis and its matching salary on the y-axis, resulting in points like (2.21, 71000), (3.69, 161000), and others in between.

Looking at the scatter diagram, we can look for any observable trend. If higher GPAs tend to be associated with higher salaries, the points would generally trend upwards. Contrarily, if there's no clear trend and the points are scattered without discernible pattern, this could suggest that the relationship between GPA and salary is weak or non-existent.