PRM Logistic Regression

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Klbell

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Quizzes Created: 11 | Total Attempts: 27,547

Questions: 25 | Attempts: 472 | Updated: Mar 22, 2023

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PRM Logistic Regression

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Current Version
Mar 22, 2023

Quiz Edited by
ProProfs Editorial Team
Jun 19, 2011

Quiz Created by
Klbell

PRM Logistic Regression

Logistic Regression (LR) is very similar to _ except the predictors do not need to be __.

In LR, the DV is a _ variable, even though it represents a _ probabilistic occurence of an event occurring.

The 5 assumptions are (1) independence (2) linearity (3) normality (4) homogeneity of variance & (5) non-multicollinearity. LR does not require:

Which one of the following is TRUE?

The reduction in uncertainty or the degree of variance we have to explain is represented by: multiple regression uses , MANOVA and ANOVA use , and LR uses .

Is the following True or False: In research, the significance of a finding is very dependent on sample size, but not effect size. Effect size will stay reliable always.

The nagelkerke R squared is a recommended effect size estimate to use in which statistical modelling?

In LR, the exponent of B, EB, tells us that something is NOT a significant predictor, if the EB is ___. In other words, it is equally probable that the skier fell or did not fall.

In the textbook example: In LR, if the EB is then it is that the skier will fall.

The use of EB is particularly pertinent in ___, whereby you are 4.3 times as likely or half as likely to do something.

Nagelkerke's statistic is the ____ which can achieve a value of 1.

If in LR you are predicting gender & are using dummy variables 0 and 1 for female and male respectively, the EB understood as a poor predictors will have an EB of ____.

With reference to ques 12, an EB of .9 on 'information' is interpreted as:

In LR it is important to keep an eye on which dummy value is 0 and which is 1. This is:

LECTURE 4: MULTIPLE REGRESSION Predicting some dichotomous outcome with variables that are either continuous or dichotomous is:

The use of multiple variables to predict 1 variable and the variable being predicted or the DV is a continuous scale variable is:

The predictors (IV's) in MR can be:

The number of predictors do matter in terms of bringing up the R squared and bringing down the F value in MR is:

The usefulness of any single predictor will be gauged by its semi-partial correlation (SR). Is this true or false?

The general linear model, is:

The difference between an ANOVA and a correlational design is that the ANOVA is and whilst the correlational design is .

Standard MR uses predictors, statistical regression uses , whilst hierarchical regression uses .

Efficiency of predictors is a pretty important consideration when using MR. This is predominantly because of its placement in the numerator.This is:

In MR, what order do we check out (1) descriptive stats (2) inferential stats of predictors & (3) inferential statistics of equation?

LECT 4: Unique contributions of particular predictors (ie X1 alone & X2 alone) are _ and joint contributions _ assigned to any particular predictor.

PRM Logistic Regression

Logistic Regression (LR) is very similar to ___ except the predictors do not need to be ____.

In LR, the DV is a ___ variable, even though it represents a ___ probabilistic occurence of an event occurring.

The 5 assumptions are (1) independence (2) linearity (3) normality (4) homogeneity of variance & (5) non-multicollinearity. LR does not require:

Which one of the following is TRUE?

The reduction in uncertainty or the degree of variance we have to explain is represented by: multiple regression uses ____, MANOVA and ANOVA use ____, and LR uses ____.

Is the following True or False: In research, the significance of a finding is very dependent on sample size, but not effect size. Effect size will stay reliable always.

The nagelkerke R squared is a recommended effect size estimate to use in which statistical modelling?

In LR, the exponent of B, EB, tells us that something is NOT a significant predictor, if the EB is ___. In other words, it is equally probable that the skier fell or did not fall.

In the textbook example: In LR, if the EB is ____ then it is ____ that the skier will fall.

The use of EB is particularly pertinent in ___, whereby you are 4.3 times as likely or half as likely to do something.

Nagelkerke's statistic is the ____ which can achieve a value of 1.

If in LR you are predicting gender & are using dummy variables 0 and 1 for female and male respectively, the EB understood as a poor predictors will have an EB of ____.

With reference to ques 12, an EB of .9 on 'information' is interpreted as:

In LR it is important to keep an eye on which dummy value is 0 and which is 1. This is:

LECTURE 4: MULTIPLE REGRESSION Predicting some dichotomous outcome with variables that are either continuous or dichotomous is:

The use of multiple variables to predict 1 variable and the variable being predicted or the DV is a continuous scale variable is:

The predictors (IV's) in MR can be:

The number of predictors do matter in terms of bringing up the R squared and bringing down the F value in MR is:

The usefulness of any single predictor will be gauged by its semi-partial correlation (SR). Is this true or false?

The general linear model, is:

The difference between an ANOVA and a correlational design is that the ANOVA is ____ and ____ whilst the correlational design is ____.

Standard MR uses ____ predictors, statistical regression uses ____, whilst hierarchical regression uses ____.

Efficiency of predictors is a pretty important consideration when using MR. This is predominantly because of its placement in the numerator.This is:

In MR, what order do we check out (1) descriptive stats (2) inferential stats of predictors & (3) inferential statistics of equation?

LECT 4: Unique contributions of particular predictors (ie X1 alone & X2 alone) are ___ and joint contributions ___ assigned to any particular predictor.

Logistic Regression (LR) is very similar to _ except the predictors do not need to be __.

In LR, the DV is a _ variable, even though it represents a _ probabilistic occurence of an event occurring.

The reduction in uncertainty or the degree of variance we have to explain is represented by: multiple regression uses , MANOVA and ANOVA use , and LR uses .

In the textbook example: In LR, if the EB is then it is that the skier will fall.

The difference between an ANOVA and a correlational design is that the ANOVA is and whilst the correlational design is .

Standard MR uses predictors, statistical regression uses , whilst hierarchical regression uses .

LECT 4: Unique contributions of particular predictors (ie X1 alone & X2 alone) are _ and joint contributions _ assigned to any particular predictor.