All Questions
Tagged with pearson-r multiple-regression
21
questions
0
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33
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Selection of covariates for partial correlation?
Are there any recommendations on procedures to identify relevant variables for a partial correlation between $r(X, Y)$?
To me, it appears most reasonable to only include those $Z_1, Z_2,\ldots,Z_n$ as ...
- 415
1
vote
0
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221
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Why am I getting a positive strong regression coefficient with a very weak correlation?
I am trying to understand what factors contribute most to my overall spending. I used data on my monthly spending from 2018 to Oct 2020. Essentially my dependent variable is total spend and I have ...
2
votes
0
answers
585
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Maximizing Pearson correlation and relation to multiple regression
This may have been asked before but I couldn't find it from a search.
I know that with simple linear regression, the regression slope is equivalent to Pearson's correlation coefficient $\rho$ for ...
- 21
2
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94
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What is the difference between each predictor's standardized betas (from multiple regression) and it's Pearson's correlation coefficient?
Say we have a multiple regression model with three predictors and one outcome variable.
Each predictor has it's associated standardized beta, which tells you how many standard deviations the outcome ...
- 197
1
vote
1
answer
648
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Higher Spearman but lower Pearson correlation?
I recently engineered a replacement for one of the most important features in my production model. This replacement makes more intuitive sense than the current version of the feature, and I was ...
- 11
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25
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Multiple Regression and Pearson Correlation [duplicate]
Can anyone explain the paradox of observing a non-significant Pearson correlation although that independent variable should be included in the Regression model?
- 1
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791
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Normal Q-Q plot - to check Assumption [closed]
Please confirm if we can make use of Normal Q-Q Plot to determine for normality of continuous variables, when the independent var is plotted against the dependent var, prior to conducting a regression ...
- 337
1
vote
1
answer
1k
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How to remove features in logistic regression model, yet still retain accuracy?
I have a dataset with 75 features that I plan to use to create a logistic regression model. However, I want to reduce this number of features as my computer can barely handle this large dataset. ...
- 219
2
votes
1
answer
797
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Are p-values from a Pearson's correlation equivalent to p-values in a multiple linear regressions?
I've looked through a related question and another on this topic but it seems I'm still missing something. I understand that in a multiple regression from these questions and answers that a given ...
- 273
5
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1
answer
3k
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High Pearson correlation, but very low coefficient in multiple regression analysis?
I have been running a few linear regression models to test the absolute and relative effect of several independent variables related to spending/investment on different tools on one measure of ...
- 51
1
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318
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Which statistical tests to re: hypothesis testing with 2 IV's and 2 DV's in pre-test-post-test design?
I'm doing data analysis for my first hypothesis testing in a research proposal for an introductory psychology research methods course and would like some advice on which statistical tests to use.
I'm ...
- 11
4
votes
2
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495
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Calculate effect size (e.g., Pearson r) from the output of a multiple regression
I'm looking at a multiple regression analysis in which I'm only interested in 1 of the several variables included in the model. However, the bivariate associations are not reported. I'm wondering if I ...
- 515
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1
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223
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Inferencing from Pearson correlation and multiple linear regression
My hypothesis is: Company size (CSIZE) is positively correlated with Return on Assets (ROA).
I create a Pearson correlation matrix in Stata using pwcorr csize roa ...
- 113
1
vote
0
answers
58
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Correlation and then a multiple regression
I have used a pearson correlation to see if certain variables that other people have found to predict the Dependent variable do occur (so I can use them as covariates later on). I then wanted to do a ...
- 11
1
vote
0
answers
212
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Is partial Pearson correlation considered as a linear measure of association?
I know Pearson's correlation is considered to be a linear measure of association, for it is intimately linked to simple least square regression. It is known to have poor performance on non-linear data ...
- 141