Find a and ß by applying linear regression, ya0.10.90.5 0.70.0588 0.2727 0.3684 0.45760.61910.8571*--1 PLan aΗ adipitati"ΣΑΥ-ΣΑΣΙ"ΣΑ - (ΣΑΝAFT

Given: Sample size n = 6 Formula Used: Y = A1 X + A2 A1 = n∑XY-∑X∑Yn∑X2-∑X2 A2 = Y-A1X

Answered: Find a and 3 by applying linear…

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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Find the regression line associated with the set of points. (Round all coefficients to four decimal places.) (6, 8), (8, 12), (12, 16), (14, 4) y(x) =
tot Consider the scatterplot given above. Which of the following could be the value of r? O A. 0.913 О В. -0.124 O C. -0.906 O D. 0.725 Given that the regression line has a slope of 0.345 and a y-intercept of - 0.296, find the slope-intercept equation of the regression line. y =| Use the regression line to predict the y-value for the x-value of - 0.627. (Round to three decimal places). y =
Numerical analysis. Urgent
Given are the set of Y (price) and X (demand) of a certain commodity. X- {9,7,8,9,3,2} and Y- {6,5,7,6,9,8} respectively.a. The equation of the regression line isy=3.6712+4.2318xy=3.6712-4.2318xy=9.1972-0.3732xy=9.1972+0.3732xb. What will be the price of a commodity if the demand is 12?3.97244.17885.76898.1234c. What will be the demand of a commodity if the price is 6?5.43567.23158.56709.1254d. The coefficient of correlation is equal to0.850.78-0.85-0.78
Find the GPA of a student if he gives average hours to study by using regression analysis. A random sample of ten students is selected from a class of 60 students, find regression line and also find the GPA of a student if he gives average hours to study by using this regression analysis. Their GPA and the hours to study are given below: GPA 2.5 3.1 3.6 3.2 2.9 3.7 2.9 2.4 3.3 3.5 Hours to study 3 5 7 5 3 8 4 2 5 7 Also interpret the regression coefficient.
Choose thy correct graph below.
None
:::.
B and c

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Find a and 3 by applying linear regression. yea 103 0.7 0.9 0.0588 0.2727 0.3684 0.4576 | 13 0.6191 08571 4. για τ 1.01.1 και κ. ἀνα "ΣΑΥ-ΣΑΣΙ "ΣΑ - (Σ.Α.)