y6. For this problem, use a linear regression model.1212a) Use the correlation formula to the right to calculate the correlation R- 1SxSy11п-1n814SSR= 1SSTSSE1117Coefficient of Deternination →R2SST1416b) Find R^2 using SSR/SSTSST = v- 7)²Sum of Squares Total →17201924Sum of Squares Regression →SSR =2022SSE = >v-y)?Sum of Squares Error →2527c) Find the slope using the formula to the right --Σ-3-)Slope a=d) Verify your answers to parts a,b,c using another method of yourchoiceintercept b= y-axwhere overbar denotes averagee). Find the residual for x = 14f) Use your regression equation to find the probable x-value for y = 83,you may round your answer to 2 decimal places.%3D

X y 6. For this problem, use a linear regression model. 2 12 a) Use the correlation formula to the right to calculate the correlation R r = 5 11 n- 8 14 SSR SE 11 17 Coefficient of Deternination R2 EST =1 ST SST 14 16 b) Find R^2 using SSR/SST (y- y)? Sum of Squares Total - SST= 17 20 19 24 SSR = >0 -7) Sum of Squares Regression+ 20 22 SSE = >0-y) Sum of Squares Error 25 27 c) Find the slope using the formula to the right ---> Slope a= intercept b=y-ax where overbar denotes average d) Verify your answers to parts a,b,c using another method of your choice - e). Find the residual for x = 14

X y 6. For this problem, use a linear regression model. 2 12 a) Use the correlation formula to the right to calculate the correlation R r = 5 11 n- 8 14 SSR SE 11 17 Coefficient of Deternination R2 EST =1 ST SST 14 16 b) Find R^2 using SSR/SST (y- y)? Sum of Squares Total - SST= 17 20 19 24 SSR = >0 -7) Sum of Squares Regression+ 20 22 SSE = >0-y) Sum of Squares Error 25 27 c) Find the slope using the formula to the right ---> Slope a= intercept b=y-ax where overbar denotes average d) Verify your answers to parts a,b,c using another method of your choice - e). Find the residual for x = 14

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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