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1 vote
1 answer
115 views

Multiple Linear regression unmet assumptions, what can I do?

I need your help with some work I am doing. Some context first: I am writing a dissertation for my master. The topic is about perceived trust in Smart Home technology. I launched a survey with a ...
Abdel Kdj's user avatar
0 votes
1 answer
113 views

Nonparametric Regression

Suppose I have response y, continuous independent variable x and binary variable z. ...
user149054's user avatar
1 vote
0 answers
179 views

Non-parametric test for interaction of two continuous variables on a third continuous variable

I have two continuous variables a and b and I would like to test whether they non-linearly interact to affect a dependent ...
1'''s user avatar
  • 203
8 votes
6 answers
4k views

Dealing with non-normal distribution in "big" datasets, when do we throw out the CLT?

Apologies from the go as this question comes from an absolute newbie and will definitely not satisfy a lot of the detail required. Hence, your guidance in providing you the right information to allow ...
OFish's user avatar
  • 458
1 vote
1 answer
461 views

Multiple regression of nonparametric variable over different types of variable

I have a non normally distributed variable X (also its residuals are non-normally distributed). I have also two predictor variables, one categorical (two categories) and one discrete. Which regression ...
retrot's user avatar
  • 265
0 votes
1 answer
509 views

Modeling a outcome variable heavily skewed toward 0

I am working with a data set to model student performance with numerous variables from the class/school/district/provincial level. Student performance is extremely low though -- 70% of reading ...
user2168478's user avatar
10 votes
4 answers
10k views

When to use non-parametric regression?

I am using PROC GLM in SAS to fit a regression equation of the following form $$ Y = b_0 + b_1X_1 + b_2X_2 + b_3X_3 + b_4t $$ The QQ plot of the resulting redsiduals indicate deviation from ...
ann's user avatar
  • 415