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If the linear equation between Height and Gestational Age is given as: Height=a + b Gest x What is the value of a from the output above What is the value of b from the output above

If the linear equation between Height and Gestational Age is given as: Height=a + b Gest x What is the value of a from the output above What is the value of b from the output above

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
Section4.6: Regression And Median-fit Lines
Problem 4GP
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If the linear equation between Height and Gestational Age is given as:

Height=a + b Gest x

What is the value of a from the output above

What is the value of b from the output above 

Scatterplot of Height v Gest Histogram mponserigh Gest Residual
Transcribed Image Text:Scatterplot of Height v Gest Histogram mponserigh Gest Residual
A regression analysis was carried out using R/RStudio and the results appear below. Use this output to answer the questions on the following pages. > cegres=lncHeight Gest) > summary (regres) call: Jn(formula = Height - Gest) Residuals: Min Median 19 -5.4838 3Q 7.9931 маx -22.3546 0. 5593 12.8408 Coefficients: Estimate std. Error t value Pr(>[t]) 2.148 0.039933 * (Intercept)59.3653 27.6408 Gest 2.8046 0.7138 ***** *** signif. codes: O ** * * 0.001 '**' 0.01 *' 0.05 ',' 0.1 Residual standard error: 9. 285 on 30 degrees of freedom Multiple R-squared: 0.3398, F-statistic: 15.44 on 1 and 30 DEmd-value: 0.0004636 Adjusted R-squared: 0. 3178 > confint (regres) 2.5 % 97.5 % (Intercept) 2.915179 115. 81538 Gest 1.346884 4.26235
Transcribed Image Text:A regression analysis was carried out using R/RStudio and the results appear below. Use this output to answer the questions on the following pages. > cegres=lncHeight Gest) > summary (regres) call: Jn(formula = Height - Gest) Residuals: Min Median 19 -5.4838 3Q 7.9931 маx -22.3546 0. 5593 12.8408 Coefficients: Estimate std. Error t value Pr(>[t]) 2.148 0.039933 * (Intercept)59.3653 27.6408 Gest 2.8046 0.7138 ***** *** signif. codes: O ** * * 0.001 '**' 0.01 *' 0.05 ',' 0.1 Residual standard error: 9. 285 on 30 degrees of freedom Multiple R-squared: 0.3398, F-statistic: 15.44 on 1 and 30 DEmd-value: 0.0004636 Adjusted R-squared: 0. 3178 > confint (regres) 2.5 % 97.5 % (Intercept) 2.915179 115. 81538 Gest 1.346884 4.26235
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