If the linear equation between Height and Gestational Age is given as:Height=a + b Gest xWhat is the value of a from the output aboveWhat is the value of b from the output above Scatterplot of Height v GestHistogrammponserighGestResidual A regression analysis was carried out using R/RStudio and the resultsappear below. Use this output to answer the questions on thefollowing pages.> cegres=lncHeight Gest)> summary (regres)call:Jn(formula = Height - Gest)Residuals:MinMedian19-5.48383Q7.9931маx-22.35460. 559312.8408Coefficients:Estimate std. Error t value Pr(>[t])2.148 0.039933 *(Intercept)59.365327.6408Gest2.80460.7138********signif. codes:O ** * * 0.001 '**' 0.01 *' 0.05 ',' 0.1Residual standard error: 9. 285 on 30 degrees of freedomMultiple R-squared: 0.3398,F-statistic: 15.44 on 1 and 30 DEmd-value: 0.0004636Adjusted R-squared: 0. 3178> confint (regres)2.5 %97.5 %(Intercept) 2.915179 115. 81538Gest1.3468844.26235

Answered: If the linear equation between Height…

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

See similar textbooks

Similar questions

the operating expesnes of amazon increased from 3.6 billion in 2008 to 16.3 billion in 2012. use the information to find a linear model for amazons operating expesne E as a function of time t in years since 2010
Please urgent
I need help answering the second part of this question:
Assume a cars depreciation value can be modeled by a linear function where y represents the cars value after t years. If the car was worth $1200 after 2 years and worth $300 after 5 years: a. How much did the car depreciate each year? b. How much was the car worth when it first debuted? c. Write an equation that models the cars value as a function of time d. When will the car have no value?
Data was collected for a regression analysis comparing car weight and fuel consumption. b0 was found to be 32.7, b1 was found to be -7.6, and R2 was found to be 0.86. Interpret the y-intercept of the line. On average, each one unit increase in the weight of a car decreases its ful consumption by 7.6 units. On average, when x=0, a car gets -7.6 miles per gallon. On average, when x=0, a car gets 32.7 miles per gallon. On average, each one unit increase in the weight of a car increases its fuel comsumption by 32.7 units. We should not interpret the y-intercept in this problem.
Suppose that the number of tee shirts sold (N) depends linearly on the price charged (x). Write an equation showing this dependence.