Mohit Arora
Happy Learning !!!
Predicting is an Art !!
Linear Regression
enables us to do it
with confidence
​
Project of Linear Regression​
for Grades.csv
THE Project
Background
The school principal wants to build a predictive model for predicting final for his consumption. As a principal he is very keen to have good scores by his students. He has given this data file to you with a request to suggest an appropriate model.You are required to build at least 4 models with different sets of predictors (independent variables).
Objective
Our main objective of the project is to to build a best predictive model for predicting final for consumption for school authorities based on the data set provided.In order to predict the performance of student in the final we have to use the other predictors from the data-set given . This would be done by building Liner Regression Models.
About The Data
Grades.csv consists of 105 observations and 22 variables (mostly categorical or nominal ) .The data tells about the details of the students giving gender, ethnicity, class sections ,marks in 5 quizzes ,marks in final, total marks, gpa and percentage and also tell whether the student is pass or fail .
Data Visualization
Data visualization is the presentation of data in a pictorial or graphical format. It enables decision-makers to see analytics presented visually, so they can grasp difficult concepts or identify new patterns. In our Linear Regression Project, data is shown by various graphs and plots which help us under the data very easily.
various scatter plots on the right side of this text defines the relationship between the different predictors and the response variable of our project.
We should try to analyze each and every plot very carefully as it may provide us information which a text cant give.​ It is a famous saying
" Sometimes1 good picture is better than 1000
words ."
22
Variables
105
Observations
8
Predictors
1
Response
Variable
WHAT PEOPLE SAY
A great effort put to build and present the project on the website in a very easy and crisp manner.
John Keneddy
CONTACT
Inquiries
For any inquiries, questions or commendations, please call: +1(647).877.7566 or fill out the following form
Head Office
1808 Aukett Dr, London
Ontario , Canada
Tel: +1(647).877.7566
Sharing
If you want to share any material regarding Statistics,R or Predictive models.Please mail the same on mht.dsm@gmail.com