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
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
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

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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd62ed927-e496-498b-a40a-a0df908413d5%2Fcd971ee0-42e3-4108-a7a7-e3bcbc18b448%2Fx4pbrzc_processed.png&w=3840&q=75)
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,
Step by step
Solved in 2 steps with 2 images

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