All Questions
9 questions
0votes
1answer
336views
Effect on regression coefficients by multiplying a constant to a feature
I was solving one quiz question on Coursera and I found an interesting question. If you double the value of a given feature (i.e. a specific column of the feature matrix), what happens to the least-...
- 165
2votes
1answer
548views
How to predict a discrete dependent variable on a continuous scale using regression
I am trying to find the 'optimal' amount of a certain medicinal cream to be applied to a patient in order to minimize the days the patient has a rash. However, the data for the cream doses are of the ...
1vote
1answer
206views
Understanding one of the assumptions of linear regression: Multicollinearity
I've read that multicollinearity is one of the main assumptions of multivariate linear regression - Multicollinearity occurs when the independent variables are too highly correlated with each other. ...
- 11
4votes
4answers
346views
What is the interpretation for quadratic functions?
I am working through the book Applied Predictive Modeling and came across something that was a bit confusing. It discussed adding non linearity to a model to improve its fit - I get this part. For ...
user67797
0votes
2answers
2kviews
How to handle continuous values and a binary target?
This is going to be a very beginner's question. I have a datset of continues features like LoanAmount, LoanDuration(multiclass?), ... ClientIncome, ClientFreeSources, etc. and a binary target whether ...
0votes
1answer
111views
What could be a dataset in which the presence of an outlier dramatically affects the performance of Ordinary Least Squares (OLS) regression?
I am tasked with giving an example of a dataset in which the presence of an outlier dramatically affects the performance of Ordinary Least Squares (OLS) regression. I've searched and searched the web ...
1vote
2answers
770views
How to predict numerical value "y"? if I have datasets having different number of parameters
I have three excel sheets for training (all numerical values). 1st excel sheets have parameters a, b, c and output as y 2nd ...
3votes
2answers
10kviews
Sales prediction of an Item
So, I've been trying to implement my first algorithm to predict the (sales/month) of a single product, I've been using linear regression since that was what were recommended to me. I'm using data ...
- 177
0votes
3answers
8kviews
What algorithms can be used to predict the outcome of a cricket match?
I am doing a project to predict the outcome of a cricket match, I have the data that states which matches were won by whom for ODIs. [Espn data] Which algorithm could be used to predict the outcome ...
