It is used to forecast the value of the dependent variable based on one or more independent variables' values. When fitting a linear regression model to a set of data, the data range should be carefully scrutinised.
Regression analysis is a proven way for determining which variables have an impact on a certain issue. Regression analysis allows you to confidently establish which elements are most important, which factors may be ignored, and how these factors interact.
Linear regression models have proven to be a reliable and scientific means of forecasting the future. Because linear regression is a well-known statistical process, its properties are well understood and linear regression models may be trained quickly.
Learner's Ratings
4
Overall Rating
56%
19%
6%
7%
12%
Reviews
M
mounika
5
How to get dataset
S
Saikiran Boddu
5
I am looking for this course in Telugu language, Is there any possibilities in Telugu.
H
Harsh Raj
5
Great
N
Nitesh kumar gupta
5
nice course all the video explained very well from scratch to advance
S
Shubham Maurice
5
Overall Lectures are good but also provide the practicing spreadsheets for students.
S
Shivam Gautam
5
very good experience
K
KALAGA NARAYAN
5
i dont think some one can explain deeply ,practically rathere than this tutor
L
Lavkesh Kushwaha
5
West
K
Kamran Ahmed
5
Helpful course
S
sanjeet kumar
4
some excercise should be there. I have not studied standerd deviation of population in second module but question has been asked.
Share a personalized message with your friends.