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...


Question 11<br>+<br>Using a = .05, which test score(s) are significant predictors of science score?<br>Below are some results from a multiple linear<br>regression analysis that was conducted on the<br>data from 200 high school students. Various<br>O Social science score<br>O Math score, social science score, and reading score<br>tests of students' abilities were conducted,<br>O Math score and reading score<br>among them testing the science knowledge<br>(science score), reading abilities (reading score),<br>math abilities (math score), and knowledge of<br>social sciences (social science score).<br>O None of the test scores<br>The researcher is trying to predict the science<br>score from the math score, social science score,<br>and reading score.<br>A part of the output of the researcher is shown<br>below:<br>

Extracted 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<br>Mean Sum of Squares Model = 3115.5<br>Mean Sum of Squares Residual = 51.8<br>Mean Sum of Squares Total = 98.0<br>Model Sum of Squares = 9346.4<br>Residual Sum of Squares = 10161.1<br>Total Sum of Squares = 19507.5<br>R-squared = 0.479<br>F(3,196) = 60.1<br>p-value<br>%3D<br>= 0.000<br>Coefficients block<br>predictor<br>variable<br>coefficient<br>standard<br>p-value<br>95% conf. int.<br>(b)<br>error<br>.000<br>.560<br>.000<br>.001<br>math score<br>social science .036<br>.075<br>.062<br>.392<br>5.25<br>0.58<br>[.245; .540]<br>[-087; .159]<br>[.204; .492]<br>[4.921; 17.386]<br>reading score .348<br>intercept<br>.073<br>3.160<br>4.76<br>3.53<br>11.153<br>

Extracted 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

Jun 03, 2022
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