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3answers
34 views

Dependent variables - BMI and Weight [on hold]

I have to figure out, which of the two variables (BMI and Weight) is the dependent. So I can make a scatterplot. Can you please tell me which one? And why? I tried searching the internet, but without ...
0
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0answers
19 views

Ratio error propagation for dependent, paired variables

I've been struggling for some days with a statistical issue that is beyond my knowledge. Context: I'm studying the volume of cells, as well as their nucleus volume. These cells are categorized in 3 ...
0
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0answers
6 views

How to compare 3 dependents conditions?

I have the result of an experiment for N subjects. The experiment results in 3 possibilities, the subject choose A, B or C. For each subject, the experiment is repeated 10 times. So I have ...
1
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1answer
68 views

Different (Welch's) ANOVA tests and post hoc contradict paired tests. Which one to accept?

This is a problem that I think nothing would help but sharing my data here. I have 3 groups (n=7) which are paired. They are concentrations of a chemical compound in different parts fish tissue. For ...
0
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0answers
27 views

Dependent variables with values on a (likert-type) scale

we'd like to conduct a study about the perceived valuation between two persons (let's say A and B that have different characteristics). Therefore, for our dependent variable, we'd like to ask ...
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0answers
12 views

How to minimize dependency between existing model and retraining dataset (using fraud modeling as example)?

What are methods to minimize dependencies between the existing model in production and the data that will be used for retraining future models (when future samples are created based on the existing ...
0
votes
1answer
27 views

Taking logs to supress hetroskedasticity

i am told that by loging variables in a regression that hetroskedasticity of errors can be reduced. is this the case also if only my dependent variable is logged? Thank you
0
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0answers
19 views

Covariance between nominal and continuous variables?

I have an nominal independent variable (two groups) and a continuous dependent variable. A two-tailed Mann-Whitney test yields a significant difference between the two groups (p < 0.03; my data is ...
0
votes
1answer
88 views

Strange results when applying Wilcoxon test in R

I am interested in whether the mean of one sample is statistically greater than the mean of the other one. The samples are not independent in that if the ith observation in sample A is positive, than ...
0
votes
1answer
51 views

Multiple values in a variable for linear regression

Say I have a data set that I am trying to perform a linear least squares regression on. Suppose that the end goal is to predict y from x. The training data set I am working with has the form ...
0
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0answers
24 views

Variance of grouped or hierarchical data

I'm coming at this from a non-pure stats background, so apologies if it's a simple problem.. Imagine there are 5 students who take 10 exams each. This gives a sample of 50 marks. I can naively ...
1
vote
1answer
48 views

Are samples dependent or independent, paired or unpaired?

An animal performs a task in a T-maze. Sometimes he chooses the right part of the maze (right trials) and sometimes left(left trials). I want to know if there are differences in firing rate of one ...
2
votes
1answer
79 views

Multivariate Gaussian Copulas to model dependent random variables

Assume that the probability distributions of several random variables and their correlation matrix are known, say $x_1\sim\text{lognormal}(1,1)$, $x_2\sim \text{uniform}(1,2)$, $x_3\sim\text{Beta}...
0
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1answer
177 views

Odds ratio for continuous dependent variable by regression analysis

My query is whether odds ratio can be calculated for a continuous dependent variable using logistic regression, if yes, kindly explain the procedure in SPSS. Further, can we apply logistic regression ...
39
votes
3answers
2k views

Where does the misconception that Y must be normally distributed come from?

Seemingly reputable sources claim that the dependent variable must be normally distributed: Model assumptions: $Y$ is normally distributed, errors are normally distributed, $e_i \sim N(0,\sigma^2)...
1
vote
2answers
74 views

Can i do regression without dependent variable?

I have a dataset of auto thefts that has the date, day, time the thefts occurred on. My independent variables would be day of the week, month, hour of the day etc. I want to see if auto thefts is ...
-1
votes
1answer
16 views

Correlation between different variables and among the group

I'm not a statistician, just a learner and facing problem in my research. I performed experiment on 25 subjects and collected data from 3 different locations (muscles, say A, B, C). The experiment ...
0
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0answers
25 views

elite survey, pooling data without sufficient info to form a panel

i am working with a political candidate study which surveyed all candidates running at an election. I got two consecutive waves, or in other words, data for two elections. The response rates are about ...
0
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0answers
30 views

Depandent or independent sample

I conduct research on dandelion's leaves. Throughout the growing season, I took pictures of leaves every two weeks. On the basis of the pictures I measured various parameters of the leaf (for example: ...
0
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0answers
17 views

Formulating dependent variable for dynamic panel analysis

I would like to formulate dynamic panel model. I have set of independent variables, that's not a problem. But dependent variable is problematic. It should indicate probability for one event to happen -...
0
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0answers
38 views

Is it possible to test an interaction between an IV and (dichotomized) DV und the DV?

as my dependent variable (DV) showed a very high skewness (strongly positive) I was wondering of I might integrate the mean-or median splitted DV as additional independent variable in my model in ...
1
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0answers
24 views

References on simulating a raster with spatial dependence

I've simulated an N-by-N raster in the following way: define a set $S$ containing a finite number $|S| = K$ of possible raster values (in my simulation, $K=3$ and the elements of $S$ are land uses / ...
0
votes
0answers
30 views

Setting up the target variable in a classification problem

Currently I’m working on a human resources project where I need to predict attrition. I have the active list of employees as on Sep’17 and the list of churned employees for different years starting ...
1
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1answer
296 views

Correlation between a binary dependent variable and categorical independent variables

I'm constructing a logit model with a binary dependent variable (probability of exiting unemployment). On the right hand side (independent variables), I have a few continuous variables and a number of ...
0
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0answers
14 views

independence/dependence when measuring the same subject?

Hey I read into dependent vs. independent samples but can't figure out what they are in my case. So I'll describe briefly what my samples are, and how I derived them. I have measured 4 muscles on 20 ...
0
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0answers
40 views

Found my dependent variable is first difference stationary. Can I then use original variable?

I found my dependent variable is first difference stationary, but does this mean I have to use the first difference as my dependent variable? Or can I use my original variable as my dependent? My ...
0
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0answers
27 views

The law of large numbers mediates predictor-outcome relation, what to do?

I am conducting a random forest analysis in which a predictor is naturally correlated to the outcome. That is, the predictor is the amount of sunlight a patient received during his admission in a ...
0
votes
0answers
17 views

2 dependent variables as proportion of 1 dependent variable in factorial design

I was measuring movement frequency using optogenetics in 3 genotypes of Drosophila larvae under 3 different light conditions. I therefore started out by carrying out a 3x3 mixed factorial ANOVA on the ...
0
votes
1answer
251 views

time series in R multiple companies yearly sales data

I have 2010-2017 annual sales and total assets data for 100 different companies from pharmaceutical, dyes, chemicals industries. I have following questions: kindly help with the best way to fill the ...
0
votes
1answer
162 views

Pooled variance of correlated samples

I got two samples originating from the following multivariate $$ (X_1, X_2) \sim \mathcal{N}\left(0, \left[ \begin{matrix} \sigma^2 & \rho\sigma^2 \\ \rho\sigma^2 & \sigma^2 \end{matrix} \...
1
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0answers
161 views

Degrees of freedom of a hierarchical model

I have a nonlinear regression model that has two independent parameters, $a$ and $b$, and one dependent parameter, $c$, which is dependent on the independent parameters $\alpha$ and $\beta$ estimated ...
0
votes
1answer
70 views

Longitudinal study and the Dependent T-Test

A hypothetical: a vocational school measures satisfaction scores from its students on a yearly basis. Students graduate in less than a year so the students that are being questioned are not the same ...
0
votes
3answers
93 views

Probability…confused

So, I'm struggling with this. Can anyone explain this in a non-statistical manner? So I have a deck of cards and I take one out and the probability of it being a spades is 13/52 or 1/4 (Event A). ...
0
votes
2answers
106 views

Dealing with probable outliers in the dependent variable

I am trying to fit a simple regression to a data set with ~45,000 observations. The dependent variable is revenue growth, but I'm concerned some observed values are incorrectly entered data. To ...
1
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0answers
170 views

Ratio variable as a dependent variable and a percentage as a independent

I am doing a unit-level linkage analysis using performance indicators (at unit level) from an audit to predict the percentage of a successful indicator. Basically, I am trying to see if the ratio ...
1
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0answers
50 views

Quantile regression: Reversed distribution of dependent?

I am little confused by the fact that Stata seems to reverse the distribution of the dependent when calculating the quantile regression (any of the commands). When I look at the simple c.d.f. of my ...
3
votes
0answers
98 views

Upper bound for randomly weighted sum of independent random variables

I have a sequence of independent random variables {$\epsilon_j$} with mean 0. I also have another sequence of Bernoulli random variables $\delta_1, \delta_2,\dots$ which are dependent on the previous ...
0
votes
1answer
58 views

Emotion as dependent variable. Can I refer to emotion as a deep/broad dependent variable?

I am testing a hypothesis with emotion as my (Y) dependent variable. I am wondering if you can refer to emotion as a deep/broad dependent variable? Becausse it is may be influece by a broad range of ...
0
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0answers
38 views

which Statistical method I can use?

My data set includes: Dependent variable (continuous) Factor (categorical) Sex A continuous variable (suppose weight) I want to see the relationship between a Dependent variable and the factor after ...
0
votes
2answers
59 views

Multiple regression when one predictor is the sum of another predictor and a third non-included variable

Assuming three variables are exactly related as: C = A + B Is it reasonable to run a logistic regression including both C and A as independent variables? If it is reasonable, how would the estimate ...
1
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0answers
25 views

Testing for Differences within Dependent Samples

I am looking for a way to test for significant differences between two dependent correlations involving different variables and two dependant regression models involving different variables. ...
1
vote
1answer
51 views

Are these three events independent?

In a given scenario - 1. Suppose that 9% of all employees in a given company are locals, 14% are men, and 18% have graduate degrees from top 10 schools. Let A, B and C be, respectively, the events ...
1
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0answers
120 views

Expectation of ratio of dependent variables

I am currently studying the behaviour of the expected values of the form $$ \mathrm{E}_{ij}(Y) = \mathrm{E}\left( \frac{Y_i - Y_j}{Y_1 + \dots + Y_n} \right), $$ where $Y$ can equal either 0 or 1, ...
0
votes
1answer
54 views

How do you calculate the probability of seeing the same image in a set of 5 when the set is drawn randomly?

Given a webpage that displays 5 images drawn at random And given a pool of 70 images And assuming each image has an equally likely chance of being drawn And assuming if an image is drawn for 1 of the ...
1
vote
1answer
28 views

What happens if you have a significant dependent t-test, and a significant correlation between the two?

I am testing participants RT's on two tasks. The two tasks each have two levels (congruent and incongruent) I am comparing Task1 congruent RT with Task2 congruent RT and then Task1 incongruent RT ...
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0answers
34 views

How to rank dependent variables

Statistics and I are mortal enemies. I have an independent variable (gender) and four dependent variables (A,B,C,D). For each of the dependent variable, there were multiple questions with likert ...
1
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0answers
50 views

Dependent variable is continous and categorical - how to regress?

My research is about password safety. As dependent variable I have the number of attempts a software needed to crack the respective passwords. This results in values in a range from approx. 1e+5 to 1e+...
0
votes
1answer
40 views

Testing for mean difference in 3 subjects for a group of students

I am sorry if this is a naive question, but I wanted to have your suggestions before considering anything. Suppose I have a group of "n" students and I have their score in three courses: A, B, and C. ...
2
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0answers
39 views

Dependent multivariate analysis(?) of ant colonies

I am describing a new species of ant. Molecular and Morphological data suggests that there are 2 separate species. In fact we are very certain they are separate based on behavioral information. I ...
0
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0answers
64 views

Aggregation of pvalues from pathway enrichment

We performed an IPA pathway enrichment analysis with RNAseq data from ~100 patients. Our samples are separated into three independent groups. Many of the reported pathways showing significant ...