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A Manager at a Local Bank Analyzed the Relationship Between

question 27

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A manager at a local bank analyzed the relationship between monthly salary and three independent variables: length of service (measured in months) ,gender (0 = female,1 = male) ,and job type (0 = clerical,1 = technical) . The following ANOVA summarizes the regression results: A manager at a local bank analyzed the relationship between monthly salary and three independent variables: length of service (measured in months) ,gender (0 = female,1 = male) ,and job type (0 = clerical,1 = technical) . The following ANOVA summarizes the regression results:     Based on the hypothesis tests for the individual regression coefficients,________. A) all the regression coefficients are not equal to zero B)  job  is the only nonsignificant variable in the model C) the intercept is the only significant variable in the model D)  service  is the only significant variable in the model A manager at a local bank analyzed the relationship between monthly salary and three independent variables: length of service (measured in months) ,gender (0 = female,1 = male) ,and job type (0 = clerical,1 = technical) . The following ANOVA summarizes the regression results:     Based on the hypothesis tests for the individual regression coefficients,________. A) all the regression coefficients are not equal to zero B)  job  is the only nonsignificant variable in the model C) the intercept is the only significant variable in the model D)  service  is the only significant variable in the model Based on the hypothesis tests for the individual regression coefficients,________.


Definitions:

Worst Predictor

A variable in a statistical model that contributes least to the prediction of the outcome variable, often due to lack of significant correlation or variability.

SE Coef

The Standard Error of the Coefficient (SE Coef) measures the accuracy with which a sample represents a population, specifically showing how much the estimated coefficients of a regression analysis are likely to vary from the actual population values.

Linear Effects

Phenomena or changes that are directly proportional to the changes in an independent variable, showing a straight-line relationship in graphical representations.

Worst Predictor

A variable or factor that provides little to no useful information in forecasting or predicting outcomes.

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