Regression terminology, predictor vs IV vs?Regression interaction w/ dichotomous predictors: Two levels, two coefficients?Multiple regression in directional / circular statistics?Reporting an ANOVA with a continuous predictor (multiple regression)Left-hand & right-hand side nomenclature in regression modelsSimple, multiple, univariate, bivariate, multivariate - terminologyLinear regression with depended predictor variablesWhat's the standard terminology for variables in observational studies vs experiments?

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Regression terminology, predictor vs IV vs?


Regression interaction w/ dichotomous predictors: Two levels, two coefficients?Multiple regression in directional / circular statistics?Reporting an ANOVA with a continuous predictor (multiple regression)Left-hand & right-hand side nomenclature in regression modelsSimple, multiple, univariate, bivariate, multivariate - terminologyLinear regression with depended predictor variablesWhat's the standard terminology for variables in observational studies vs experiments?






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;








1












$begingroup$


A reviewer has objected to our use of the term "predictor" in a multiple regression analysis using observational data. They argue that because the model is intended to be explanatory and not predictive, we should use some other term. Any suggestions? I'm not keen on, say, "independent variable" because this, at least to me suggests an experimental design with manipulation.










share|cite|improve this question







New contributor



Mike Babyak is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.






$endgroup$









  • 1




    $begingroup$
    It's not up to the intention of the analyst whether a coefficient in a regression model can be interpreted as measuring the causal effect of that variable on the outcome or merely the predictive shift . Your last sentence indicates a causal interpretation isn't justified. If so I think predictor is fine (It's always fine. regression at the very least does at least that) but if the reviewer insists, maybe regressor.
    $endgroup$
    – CloseToC
    9 hours ago







  • 1




    $begingroup$
    It is OK to use word "predictor" in an "explanatory" study. Explaining is about predicting what has already occured. Does the reviewer mean "forecasting"?
    $endgroup$
    – ttnphns
    8 hours ago










  • $begingroup$
    Explanation is certainly lacking if the model isn't successful at prediction, namely of predicting the outcome conditional on other variables. The term predictor isn't intended to be restricted to situations where predicting the future or even beyond the dataset is of primary -- or even any -- concern. .
    $endgroup$
    – Nick Cox
    8 hours ago











  • $begingroup$
    In some fields (especially economics) IV is more likely to mean instrumental variable. For that and other reasons I discourage the abbreviation where I can. (It's perhaps less likely that a reader will take DV to mean Deo volente, but that's horrible too. DV saves a few characters but no syllables over outcome or response.
    $endgroup$
    – Nick Cox
    8 hours ago

















1












$begingroup$


A reviewer has objected to our use of the term "predictor" in a multiple regression analysis using observational data. They argue that because the model is intended to be explanatory and not predictive, we should use some other term. Any suggestions? I'm not keen on, say, "independent variable" because this, at least to me suggests an experimental design with manipulation.










share|cite|improve this question







New contributor



Mike Babyak is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.






$endgroup$









  • 1




    $begingroup$
    It's not up to the intention of the analyst whether a coefficient in a regression model can be interpreted as measuring the causal effect of that variable on the outcome or merely the predictive shift . Your last sentence indicates a causal interpretation isn't justified. If so I think predictor is fine (It's always fine. regression at the very least does at least that) but if the reviewer insists, maybe regressor.
    $endgroup$
    – CloseToC
    9 hours ago







  • 1




    $begingroup$
    It is OK to use word "predictor" in an "explanatory" study. Explaining is about predicting what has already occured. Does the reviewer mean "forecasting"?
    $endgroup$
    – ttnphns
    8 hours ago










  • $begingroup$
    Explanation is certainly lacking if the model isn't successful at prediction, namely of predicting the outcome conditional on other variables. The term predictor isn't intended to be restricted to situations where predicting the future or even beyond the dataset is of primary -- or even any -- concern. .
    $endgroup$
    – Nick Cox
    8 hours ago











  • $begingroup$
    In some fields (especially economics) IV is more likely to mean instrumental variable. For that and other reasons I discourage the abbreviation where I can. (It's perhaps less likely that a reader will take DV to mean Deo volente, but that's horrible too. DV saves a few characters but no syllables over outcome or response.
    $endgroup$
    – Nick Cox
    8 hours ago













1












1








1





$begingroup$


A reviewer has objected to our use of the term "predictor" in a multiple regression analysis using observational data. They argue that because the model is intended to be explanatory and not predictive, we should use some other term. Any suggestions? I'm not keen on, say, "independent variable" because this, at least to me suggests an experimental design with manipulation.










share|cite|improve this question







New contributor



Mike Babyak is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.






$endgroup$




A reviewer has objected to our use of the term "predictor" in a multiple regression analysis using observational data. They argue that because the model is intended to be explanatory and not predictive, we should use some other term. Any suggestions? I'm not keen on, say, "independent variable" because this, at least to me suggests an experimental design with manipulation.







regression multiple-regression terminology






share|cite|improve this question







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Mike Babyak is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.










share|cite|improve this question







New contributor



Mike Babyak is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.








share|cite|improve this question




share|cite|improve this question






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asked 9 hours ago









Mike BabyakMike Babyak

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  • 1




    $begingroup$
    It's not up to the intention of the analyst whether a coefficient in a regression model can be interpreted as measuring the causal effect of that variable on the outcome or merely the predictive shift . Your last sentence indicates a causal interpretation isn't justified. If so I think predictor is fine (It's always fine. regression at the very least does at least that) but if the reviewer insists, maybe regressor.
    $endgroup$
    – CloseToC
    9 hours ago







  • 1




    $begingroup$
    It is OK to use word "predictor" in an "explanatory" study. Explaining is about predicting what has already occured. Does the reviewer mean "forecasting"?
    $endgroup$
    – ttnphns
    8 hours ago










  • $begingroup$
    Explanation is certainly lacking if the model isn't successful at prediction, namely of predicting the outcome conditional on other variables. The term predictor isn't intended to be restricted to situations where predicting the future or even beyond the dataset is of primary -- or even any -- concern. .
    $endgroup$
    – Nick Cox
    8 hours ago











  • $begingroup$
    In some fields (especially economics) IV is more likely to mean instrumental variable. For that and other reasons I discourage the abbreviation where I can. (It's perhaps less likely that a reader will take DV to mean Deo volente, but that's horrible too. DV saves a few characters but no syllables over outcome or response.
    $endgroup$
    – Nick Cox
    8 hours ago












  • 1




    $begingroup$
    It's not up to the intention of the analyst whether a coefficient in a regression model can be interpreted as measuring the causal effect of that variable on the outcome or merely the predictive shift . Your last sentence indicates a causal interpretation isn't justified. If so I think predictor is fine (It's always fine. regression at the very least does at least that) but if the reviewer insists, maybe regressor.
    $endgroup$
    – CloseToC
    9 hours ago







  • 1




    $begingroup$
    It is OK to use word "predictor" in an "explanatory" study. Explaining is about predicting what has already occured. Does the reviewer mean "forecasting"?
    $endgroup$
    – ttnphns
    8 hours ago










  • $begingroup$
    Explanation is certainly lacking if the model isn't successful at prediction, namely of predicting the outcome conditional on other variables. The term predictor isn't intended to be restricted to situations where predicting the future or even beyond the dataset is of primary -- or even any -- concern. .
    $endgroup$
    – Nick Cox
    8 hours ago











  • $begingroup$
    In some fields (especially economics) IV is more likely to mean instrumental variable. For that and other reasons I discourage the abbreviation where I can. (It's perhaps less likely that a reader will take DV to mean Deo volente, but that's horrible too. DV saves a few characters but no syllables over outcome or response.
    $endgroup$
    – Nick Cox
    8 hours ago







1




1




$begingroup$
It's not up to the intention of the analyst whether a coefficient in a regression model can be interpreted as measuring the causal effect of that variable on the outcome or merely the predictive shift . Your last sentence indicates a causal interpretation isn't justified. If so I think predictor is fine (It's always fine. regression at the very least does at least that) but if the reviewer insists, maybe regressor.
$endgroup$
– CloseToC
9 hours ago





$begingroup$
It's not up to the intention of the analyst whether a coefficient in a regression model can be interpreted as measuring the causal effect of that variable on the outcome or merely the predictive shift . Your last sentence indicates a causal interpretation isn't justified. If so I think predictor is fine (It's always fine. regression at the very least does at least that) but if the reviewer insists, maybe regressor.
$endgroup$
– CloseToC
9 hours ago





1




1




$begingroup$
It is OK to use word "predictor" in an "explanatory" study. Explaining is about predicting what has already occured. Does the reviewer mean "forecasting"?
$endgroup$
– ttnphns
8 hours ago




$begingroup$
It is OK to use word "predictor" in an "explanatory" study. Explaining is about predicting what has already occured. Does the reviewer mean "forecasting"?
$endgroup$
– ttnphns
8 hours ago












$begingroup$
Explanation is certainly lacking if the model isn't successful at prediction, namely of predicting the outcome conditional on other variables. The term predictor isn't intended to be restricted to situations where predicting the future or even beyond the dataset is of primary -- or even any -- concern. .
$endgroup$
– Nick Cox
8 hours ago





$begingroup$
Explanation is certainly lacking if the model isn't successful at prediction, namely of predicting the outcome conditional on other variables. The term predictor isn't intended to be restricted to situations where predicting the future or even beyond the dataset is of primary -- or even any -- concern. .
$endgroup$
– Nick Cox
8 hours ago













$begingroup$
In some fields (especially economics) IV is more likely to mean instrumental variable. For that and other reasons I discourage the abbreviation where I can. (It's perhaps less likely that a reader will take DV to mean Deo volente, but that's horrible too. DV saves a few characters but no syllables over outcome or response.
$endgroup$
– Nick Cox
8 hours ago




$begingroup$
In some fields (especially economics) IV is more likely to mean instrumental variable. For that and other reasons I discourage the abbreviation where I can. (It's perhaps less likely that a reader will take DV to mean Deo volente, but that's horrible too. DV saves a few characters but no syllables over outcome or response.
$endgroup$
– Nick Cox
8 hours ago










1 Answer
1






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$begingroup$

Feature or covariate are the terms that I use. Another that one might use is explanatory variable.






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    $begingroup$

    Feature or covariate are the terms that I use. Another that one might use is explanatory variable.






    share|cite|improve this answer











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      4












      $begingroup$

      Feature or covariate are the terms that I use. Another that one might use is explanatory variable.






      share|cite|improve this answer











      $endgroup$

















        4












        4








        4





        $begingroup$

        Feature or covariate are the terms that I use. Another that one might use is explanatory variable.






        share|cite|improve this answer











        $endgroup$



        Feature or covariate are the terms that I use. Another that one might use is explanatory variable.







        share|cite|improve this answer














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        edited 8 hours ago









        Nick Cox

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        answered 9 hours ago









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