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Referencing the values in the multiple regression analysis, Reading ability is the independent variable  age and IQ are the dependent variables  1. Does age and IQ predict the reading ability? 2. Which of the predictors(age or IQ) is the stronger predictor of reading ability? What evidence helps support your answer?

Referencing the values in the multiple regression analysis, Reading ability is the independent variable  age and IQ are the dependent variables  1. Does age and IQ predict the reading ability? 2. Which of the predictors(age or IQ) is the stronger predictor of reading ability? What evidence helps support your answer?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section: Chapter Questions
Problem 6SGR
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Referencing the values in the multiple regression analysis,

Reading ability is the independent variable 

age and IQ are the dependent variables 

1. Does age and IQ predict the reading ability?

2. Which of the predictors(age or IQ) is the stronger predictor of reading ability? What evidence helps support your answer?

 

Correlations Correlations age IQ reading ability age Pearson Correlation 1 -.198 .846 Sig. (2-tailed) .402 .000 N 20 20 20 IQ Pearson Correlation -.198 1 .150 Sig. (2-tailed) .402 .527 20 20 20 reading ability Pearson Correlation .846 .150 1 Sig. (2-tailed) .000 .527 20 20 20 **. Correlation is significant at the 0.01 level (2-tailed).
Transcribed Image Text:Correlations Correlations age IQ reading ability age Pearson Correlation 1 -.198 .846 Sig. (2-tailed) .402 .000 N 20 20 20 IQ Pearson Correlation -.198 1 .150 Sig. (2-tailed) .402 .527 20 20 20 reading ability Pearson Correlation .846 .150 1 Sig. (2-tailed) .000 .527 20 20 20 **. Correlation is significant at the 0.01 level (2-tailed).
Model Summary Adjusted R Square Std. Error of Model R R Square the Estimate 1 .906 .821 .800 .30739 a. Predictors: (Constant), IQ, age ANOVA Sum of Model Squares df Mean Square F Sig. 1 Regression 7.374 2 3.687 39.018 .000 Residual 1.606 17 .094 Total 8.980 19 a. Dependent Variable: reading ability b. Predictors: (Constant), IQ, age a Coefficients Standardized Unstandardized Coefficients Coefficients Model В Std. Error Beta Sig. 1 (Constant) -.703 1.247 -.564 .580 age .584 .067 .912 8.711 .000 IQ .036 .011 .331 3.165 .006 a. Dependent Variable: reading ability
Transcribed Image Text:Model Summary Adjusted R Square Std. Error of Model R R Square the Estimate 1 .906 .821 .800 .30739 a. Predictors: (Constant), IQ, age ANOVA Sum of Model Squares df Mean Square F Sig. 1 Regression 7.374 2 3.687 39.018 .000 Residual 1.606 17 .094 Total 8.980 19 a. Dependent Variable: reading ability b. Predictors: (Constant), IQ, age a Coefficients Standardized Unstandardized Coefficients Coefficients Model В Std. Error Beta Sig. 1 (Constant) -.703 1.247 -.564 .580 age .584 .067 .912 8.711 .000 IQ .036 .011 .331 3.165 .006 a. Dependent Variable: reading ability
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