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TABLE 2. Multiple Linear Regression Analyses of RNFL Thickness and Other Covariates on Cognitive Functioning RNFL Thickness. 15-word test I' 15-word test II-V 15-word test VI Semantic fluency Trail-Making Test B*t Stroop Color-Word Test part III*+ Block Design* Dutch Adult Reading Test 0.004 (0.002); P = 0.012 0.098 (0.031); P = 0.002 0.024 (0.011); P = 0.026 0.099 (0.038); P = 0.009 -0.006 (0.002); P = 0.001 -0.002 (0.001); P = 0.150 0.015 (0.005); P = 0.001 0.305 (0.071); P<0.001 Age -0.012 (0.001); P<0.001 -0.312 (0.015); P<0.001 -0.084 (0.005); P<0.001 -0.237 (0.018); P<0.001 0.019 (0.001); P<0.001 0.010 (0.001); P<0.001 -0.054 (0.002); P < 0.001 -0.414 (0.034); P<0.001 Male -0.090 (0.021); P<0.001 -3.243 (0.383); P<0.001 -0.909 (0.131); P<0.001 1.005 (0.467); P = 0.032 -0.005 (0.022); P = 0.829 0.016 (0.014); P = 0.239 0.333 (0.059); P<0.001 1.819 (0.880); P = 0.039 Inbreeding -0.016 (0.009); P = 0.079 -0.342 (0.171); P = 0.046 -0.136 (0.058); P = 0.020 -0.890 (0.209); P<0.001 0.031 (0.010); P = 0.001 0.001 (0.006); P = 0.915 -0.087 (0.026); P = 0.001 -2.669 (0.395); P<0.001 Presented data are regression coefficients (SE) and P-values in a multiple-regression model including age, sex, inbreeding, and refractive error. * Transformed variables. † Higher test scores represent lower cognitive performance. Spherical Equivalent -0.012 (0.006); P = 0.040 -0.324 (0.110); P = 0.003 -0.110 (0.038); P = 0.003 -0.360 (0.134); P = 0.007 0.017 (0.006); P = 0.007 0.004 (0.004); P = 0.295 -0.066 (0.017); P<0.001 -1.246 (0.251); P<0.001

TABLE 2. Multiple Linear Regression Analyses of RNFL Thickness and Other Covariates on Cognitive Functioning RNFL Thickness. 15-word test I' 15-word test II-V 15-word test VI Semantic fluency Trail-Making Test B*t Stroop Color-Word Test part III*+ Block Design* Dutch Adult Reading Test 0.004 (0.002); P = 0.012 0.098 (0.031); P = 0.002 0.024 (0.011); P = 0.026 0.099 (0.038); P = 0.009 -0.006 (0.002); P = 0.001 -0.002 (0.001); P = 0.150 0.015 (0.005); P = 0.001 0.305 (0.071); P<0.001 Age -0.012 (0.001); P<0.001 -0.312 (0.015); P<0.001 -0.084 (0.005); P<0.001 -0.237 (0.018); P<0.001 0.019 (0.001); P<0.001 0.010 (0.001); P<0.001 -0.054 (0.002); P < 0.001 -0.414 (0.034); P<0.001 Male -0.090 (0.021); P<0.001 -3.243 (0.383); P<0.001 -0.909 (0.131); P<0.001 1.005 (0.467); P = 0.032 -0.005 (0.022); P = 0.829 0.016 (0.014); P = 0.239 0.333 (0.059); P<0.001 1.819 (0.880); P = 0.039 Inbreeding -0.016 (0.009); P = 0.079 -0.342 (0.171); P = 0.046 -0.136 (0.058); P = 0.020 -0.890 (0.209); P<0.001 0.031 (0.010); P = 0.001 0.001 (0.006); P = 0.915 -0.087 (0.026); P = 0.001 -2.669 (0.395); P<0.001 Presented data are regression coefficients (SE) and P-values in a multiple-regression model including age, sex, inbreeding, and refractive error. * Transformed variables. † Higher test scores represent lower cognitive performance. Spherical Equivalent -0.012 (0.006); P = 0.040 -0.324 (0.110); P = 0.003 -0.110 (0.038); P = 0.003 -0.360 (0.134); P = 0.007 0.017 (0.006); P = 0.007 0.004 (0.004); P = 0.295 -0.066 (0.017); P<0.001 -1.246 (0.251); P<0.001

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
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From the article “Association of cognitive functioning with retinal nerve fiber layer thickness” by van Koolwijk et al., in Investigative Ophthalmology & Visual Science, October 2009, Vol. 50, No. 10, below is table 2 showing the results of fitting several multiple linear regression models for different response variables.

Write down the fitted model corresponding to the last row of the table.  You can leave the intercept as hatB0. Interpret the coefficient values corresponding to the RNFL Thickness and Male variables.

 

TABLE 2. Multiple Linear Regression Analyses of RNFL Thickness and Other Covariates on Cognitive Functioning RNFL Thickness 15-word test I* 15-word test II-V 15-word test VI Semantic fluency Trail-Making Test B*t Stroop Color-Word Test part III*+ Block Design* Dutch Adult Reading Test 0.004 (0.002); P = 0.012 0.098 (0.031); P = 0.002 0.024 (0.011); P = 0.026 0.099 (0.038); P = 0.009 -0.006 (0.002); P = 0.001 -0.002 (0.001); P = 0.150 0.015 (0.005); P = 0.001 0.305 (0.071); P < 0.001 Age -0.012 (0.001); P < 0.001 -0.312 (0.015); P<0.001 -0.084 (0.005); P < 0.001 -0.237 (0.018); P < 0.001 0.019 (0.001); P < 0.001 0.010 (0.001); P<0.001 -0.054 (0.002); P < 0.001 -0.414 (0.034); P < 0.001 Male -0.090 (0.021); P<0.001 -3.243 (0.383);P < 0.001 -0.909 (0.131); P<0.001 1.005 (0.467); P = 0.032 -0.005 (0.022); P = 0.829 0.016 (0.014); P = 0.239 0.333 (0.059); P<0.001 1.819 (0.880); P = 0.039 Inbreeding -0.016 (0.009); P = 0.079 -0.342 (0.171); P = 0.046 -0.136 (0.058); P = 0.020 -0.890 (0.209); P < 0.001 0.031 (0.010); P = 0.001 0.001 (0.006); P = 0.915 -0.087 (0.026); P = 0.001 -2.669 (0.395); P < 0.001 Presented data are regression coefficients (SE) and P-values in a multiple-regression model including age, sex, inbreeding, and refractive error. * Transformed variables. † Higher test scores represent lower cognitive performance. Spherical Equivalent -0.012 (0.006); P = 0.040 -0.324 (0.110); P = 0.003 -0.110 (0.038); P = 0.003 -0.360 (0.134); P = 0.007 0.017 (0.006); P = 0.007 0.004 (0.004); P = 0.295 -0.066 (0.017); P < 0.001 -1.246 (0.251); P < 0.001
Transcribed Image Text:TABLE 2. Multiple Linear Regression Analyses of RNFL Thickness and Other Covariates on Cognitive Functioning RNFL Thickness 15-word test I* 15-word test II-V 15-word test VI Semantic fluency Trail-Making Test B*t Stroop Color-Word Test part III*+ Block Design* Dutch Adult Reading Test 0.004 (0.002); P = 0.012 0.098 (0.031); P = 0.002 0.024 (0.011); P = 0.026 0.099 (0.038); P = 0.009 -0.006 (0.002); P = 0.001 -0.002 (0.001); P = 0.150 0.015 (0.005); P = 0.001 0.305 (0.071); P < 0.001 Age -0.012 (0.001); P < 0.001 -0.312 (0.015); P<0.001 -0.084 (0.005); P < 0.001 -0.237 (0.018); P < 0.001 0.019 (0.001); P < 0.001 0.010 (0.001); P<0.001 -0.054 (0.002); P < 0.001 -0.414 (0.034); P < 0.001 Male -0.090 (0.021); P<0.001 -3.243 (0.383);P < 0.001 -0.909 (0.131); P<0.001 1.005 (0.467); P = 0.032 -0.005 (0.022); P = 0.829 0.016 (0.014); P = 0.239 0.333 (0.059); P<0.001 1.819 (0.880); P = 0.039 Inbreeding -0.016 (0.009); P = 0.079 -0.342 (0.171); P = 0.046 -0.136 (0.058); P = 0.020 -0.890 (0.209); P < 0.001 0.031 (0.010); P = 0.001 0.001 (0.006); P = 0.915 -0.087 (0.026); P = 0.001 -2.669 (0.395); P < 0.001 Presented data are regression coefficients (SE) and P-values in a multiple-regression model including age, sex, inbreeding, and refractive error. * Transformed variables. † Higher test scores represent lower cognitive performance. Spherical Equivalent -0.012 (0.006); P = 0.040 -0.324 (0.110); P = 0.003 -0.110 (0.038); P = 0.003 -0.360 (0.134); P = 0.007 0.017 (0.006); P = 0.007 0.004 (0.004); P = 0.295 -0.066 (0.017); P < 0.001 -1.246 (0.251); P < 0.001
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