Temp. 172 Ratio Temp. 182 Ratio Ratio 0.79 1.38 where S 174 Sxy 1.36 1.67 182 n 175 176 176 177 178 Temp. 184 184 184 186 = - ΣΥ 1.41 182 1.88 1.95 2.63 1.54 βο-ΣΥ-βι Σ×i and B, = Swy = Sxx (Σχ.) (ΣΥ) 1.08 1.00 1.03 0.95 1.66 2.14 n 182 x). 2.49 2.97 1.96 3.03 The equation of the estimated regression line for tank temperature, x, and efficiency ratio, y, is y = Bot Box, where β , is the y-intercept and β, is equal to the slope of the line. The computational formulas for Îo and Î1 are as follows. Π 179 182 183 183 184 186 187 188 1.77 2.06 0.87 1.36 0.99 and Sxx = Ex? - First, let's calculate n, ΣΣΣΣ?, and ΣΥ The sample size is n = 24. The sum of the tank temperatures, Σx; = 4,356. The sum of the efficiency ratios, ΣΥ; =| The sum of the squares of the tank temperatures, Σx = 791,118. The sum of the squares of the efficiency ratios is Σy? = [ The sum of the products of x,y, is Exiyi 190
Temp. 172 Ratio Temp. 182 Ratio Ratio 0.79 1.38 where S 174 Sxy 1.36 1.67 182 n 175 176 176 177 178 Temp. 184 184 184 186 = - ΣΥ 1.41 182 1.88 1.95 2.63 1.54 βο-ΣΥ-βι Σ×i and B, = Swy = Sxx (Σχ.) (ΣΥ) 1.08 1.00 1.03 0.95 1.66 2.14 n 182 x). 2.49 2.97 1.96 3.03 The equation of the estimated regression line for tank temperature, x, and efficiency ratio, y, is y = Bot Box, where β , is the y-intercept and β, is equal to the slope of the line. The computational formulas for Îo and Î1 are as follows. Π 179 182 183 183 184 186 187 188 1.77 2.06 0.87 1.36 0.99 and Sxx = Ex? - First, let's calculate n, ΣΣΣΣ?, and ΣΥ The sample size is n = 24. The sum of the tank temperatures, Σx; = 4,356. The sum of the efficiency ratios, ΣΥ; =| The sum of the squares of the tank temperatures, Σx = 791,118. The sum of the squares of the efficiency ratios is Σy? = [ The sum of the products of x,y, is Exiyi 190
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
Expert Solution
Introduction
Regression line is used to predict the value over the another. It used to make the relationship between the independent and dependent variable. The regression coefficients are of two types, they are slope and intercept value. The linear regression equation of the form :
Step by step
Solved in 2 steps
Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman