9 The following is a regression of credit scores based on an individual's age, income, their location (whether they arein the North, South, East or West part of the U.S.) and whether they are a female or a male. The location dummiesare North, South and East and the gender dummy is Female.InterceptAgeIncomeNorthSouthEastFemaleWhich of the following is true?Coefficients477.4812.8580.02411.15813.24733.94617.080A and CStandard Error44.8960.9070.0233.6352.83423.33214.338B and Ct Stat10.6353.1531.0363.0704.6741,4551.191P-valueA. Females' credit scores will be 17.08 points greater than males' credit scores,on average, all else equal.0.0000.0030.3050.0030.0020.1520.239B. Every additional female will increase the income by 17.08, all else equal.OC. Every additional dollar of income will increase the credit score by .024, all elseequal.

Given data, The following in a regression of credit score based on an individual age, income, their…

The following is a regression of credit scores based on an individual's age, income, their location (whether they are in the North, South, East or West part of the U.S.) and whether they are a female or a male. The location dummies are North, South and East and the gender dummy is Female. Intercept Age Income North South East Female Coefficients 477.481 2.858 0.024 Which of the following is true? 11.158 13.247 33.946 17.080 A and C B and C Standard Error 44.896 0.907 0.023 3.635 2.834 23.332 14.338 t Stat 10.635 3.153 1.036 3.070 4.674 1,455 1.191 P-value A. Females' credit scores will be 17.08 points greater than males' credit scores, on average, all else equal. 0.000 0.003 0.305 0.003 0.002 0.152 0.239 B. Every additional female will increase the income by 17.08, all else equal. OC. Every additional dollar of income will increase the credit score by .024, all else equal.

The following is a regression of credit scores based on an individual's age, income, their location (whether they are in the North, South, East or West part of the U.S.) and whether they are a female or a male. The location dummies are North, South and East and the gender dummy is Female. Intercept Age Income North South East Female Coefficients 477.481 2.858 0.024 Which of the following is true? 11.158 13.247 33.946 17.080 A and C B and C Standard Error 44.896 0.907 0.023 3.635 2.834 23.332 14.338 t Stat 10.635 3.153 1.036 3.070 4.674 1,455 1.191 P-value A. Females' credit scores will be 17.08 points greater than males' credit scores, on average, all else equal. 0.000 0.003 0.305 0.003 0.002 0.152 0.239 B. Every additional female will increase the income by 17.08, all else equal. OC. Every additional dollar of income will increase the credit score by .024, all else equal.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.6: Regression And Median-fit Lines

Problem 4GP

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