QEP statistics
liam1998
UpdatedSupervisedMachineLearningProject-11.docxSupervised Machine Learning Project
(MATH 1127 students)
This assignment will be used to evaluate your Work Ethics for this course. Completing this assignment will help the instructor to determine your Work Ethics grade by looking at the following:
· Planning and organizing skills
· Critical thinking
· Communication
Guidelines:
· This project is to examine the level of correlation and develop a linear regression between High School Graduation Rate vs Unemployment Rate in the Southern States. You will perform a regression analysis on a given labelled data set and provide a prediction summary.
· The following data are the mean spending per pupil and unemployment rate for each state; the data are obtained from the Governing publication, a D.C.-based Congressional Quarterly and the Department of Labor Statistics.
|
State |
HS Graduation Rate |
Unemployment Rate |
|
Alabama |
89.30 |
3.7 |
|
Arkansas |
84.90 |
3.6 |
|
Florida |
77.90 |
3.4 |
|
Georgia |
78.80 |
3.8 |
|
Louisiana |
77.50 |
4.4 |
|
Mississippi |
75.40 |
5 |
|
North Carolina |
85.60 |
4.1 |
|
South Carolina |
80.30 |
3.5 |
|
Tennessee |
87.90 |
3.3 |
|
Texas |
89.00 |
3.5 |
|
Virginia |
85.70 |
3 |
|
West Virginia |
86.50 |
4.8 |
· Descriptive statistics:
· Find the mean, median, mode, range, and standard deviation for the data set.
· Create a scatter plot for the data set.
· Regression Analysis:
· Perform a linear regression analysis onto the data set.
· Report the correlation coefficient, the equation of the regression function, and make a few predictions base on hypothetical input values.
· Write down a summary of your conclusions (How well does the regression fit the values? How correlated are the independent and dependent variables? What does the prediction tell you?).
· Grading Rubric for Project: 36 total points for MATH 1127
|
|
9 |
6 |
3 |
0 |
|
Basic Information |
Visible title
Neatness |
Met one of the requirements |
Met none of the requirements |
Did not do project |
|
Linear Regression |
Regression method
Correct coefficients |
Met one of the requirements |
Met none of the requirements |
Did not do project |
|
Descriptive Statistics |
Correct statistics (mean, median, etc.)
Correct graph |
Met one of the requirements |
Met none of the requirements |
Did not do project |
|
Hypothesis Testing |
Suitable statistics summary
Suitable prediction |
Met one of the requirements |
Met none of the requirements |
Did not do project |
|
MATH 1127: Total /36 |
Your scores on the project will be used to determine your work ethic grade for this course. Below are the objectives from the QEP Evaluation form. In bold print you will see what part of your project is used for each objective as well as the score range to earn either a 3, 2, 1, or 0 for that portion of the ethic grade.
|
General Education Rubric |
No Submission (0) |
No Mastery (1) |
Partial Mastery (2) |
Mastery (3) |
Total |
|
Students will gather, analyze, and evaluate information, concepts, and ideas using primary employability skills of mathematical or scientific reasoning, assumptions, predictions, and statistics.
Based on your basic information, collection of data, descriptive statistics, and hypothesis testing. |
Student did not submit Work Ethics Assignment. |
In evaluative formats, the student will demonstrate less than 60% accuracy in mathematical or scientific reasoning, assumptions, predictions, and statistics of analytical problems.
1 – 28 points
|
In evaluative formats, the student will be able to demonstrate with at least 60% accuracy the mathematical or scientific reasoning, assumptions, predictions, and statistics of analytical problems.
29 – 32 points
|
In evaluative formats, the student will be able to demonstrate with at least 80% accuracy the mathematical or scientific reasoning, assumptions, predictions, and statistics of analytical problems.
33 – 36 points
|
|
