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

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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
Expert Solution
Step 1

Let the independent variable X = Gest

Let the dependent variable Y = Height

The given regression output is,

Statistics homework question answer, step 1, image 1

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