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Using a = .05, which test score(s) are significant predictors of science score? Social ccionco oooro

Using a = .05, which test score(s) are significant predictors of science score? Social ccionco oooro

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question 11 + Using a = .05, which test score(s) are significant predictors of science score? Below are some results from a multiple linear regression analysis that was conducted on the data from 200 high school students. Various O Social science score O Math score, social science score, and reading score tests of students' abilities were conducted, O Math score and reading score among them testing the science knowledge (science score), reading abilities (reading score), math abilities (math score), and knowledge of social sciences (social science score). O None of the test scores The researcher is trying to predict the science score from the math score, social science score, and reading score. A part of the output of the researcher is shown below:
Transcribed Image Text:Question 11 + Using a = .05, which test score(s) are significant predictors of science score? Below are some results from a multiple linear regression analysis that was conducted on the data from 200 high school students. Various O Social science score O Math score, social science score, and reading score tests of students' abilities were conducted, O Math score and reading score among them testing the science knowledge (science score), reading abilities (reading score), math abilities (math score), and knowledge of social sciences (social science score). O None of the test scores The researcher is trying to predict the science score from the math score, social science score, and reading score. A part of the output of the researcher is shown below:
ANOVA Table Mean Sum of Squares Model = 3115.5 Mean Sum of Squares Residual = 51.8 Mean Sum of Squares Total = 98.0 Model Sum of Squares = 9346.4 Residual Sum of Squares = 10161.1 Total Sum of Squares = 19507.5 R-squared = 0.479 F(3,196) = 60.1 p-value %3D = 0.000 Coefficients block predictor variable coefficient standard p-value 95% conf. int. (b) error .000 .560 .000 .001 math score social science .036 .075 .062 .392 5.25 0.58 [.245; .540] [-087; .159] [.204; .492] [4.921; 17.386] reading score .348 intercept .073 3.160 4.76 3.53 11.153
Transcribed Image Text:ANOVA Table Mean Sum of Squares Model = 3115.5 Mean Sum of Squares Residual = 51.8 Mean Sum of Squares Total = 98.0 Model Sum of Squares = 9346.4 Residual Sum of Squares = 10161.1 Total Sum of Squares = 19507.5 R-squared = 0.479 F(3,196) = 60.1 p-value %3D = 0.000 Coefficients block predictor variable coefficient standard p-value 95% conf. int. (b) error .000 .560 .000 .001 math score social science .036 .075 .062 .392 5.25 0.58 [.245; .540] [-087; .159] [.204; .492] [4.921; 17.386] reading score .348 intercept .073 3.160 4.76 3.53 11.153
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