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6 votes
Accepted

Simple Linear Regression: $Y = \beta_0 + \beta_1 X$ BUT $y_i = \beta_0 + \beta_1 x_i + \epsilon$

6 votes
Accepted

Why is the correlation of a variable and itself a histogram?

5 votes

How can I visualize an ordinal variable predicting a continuous outcome?

2 votes

Transformed continuous variable Z-Score to Percentile

2 votes
Accepted

Percent Difference From T-Test

1 vote
Accepted

probability of getting to state a before state b starting from state a

1 vote

How to compare two joint probability distributions? How to measure the distance between them?

1 vote
Accepted

Overfitting in recommender systems

0 votes

Modify fit or function to match certain values

0 votes

Finding minimum/maximum peaks in a n-modal distribution

0 votes

Question about some basics

0 votes

Is difference-in-differences analysis with time as dummy better than 'ordinary' y=after, x = before regression?