(d) Calculate the residual corresponding to the first observation. (Round your answer to two decimal places.) Calculate the residual corresponding to the second observation. (Round your answer to two decimal places.) (e) Calculate a point estimate of o. (Round your answer to two decimal places.) Interpret the above point estimate of a. Porosity measurements deviate from the least squares line by approximately the point estimate of sigma on average. O Porosity measurements deviate from sample mean porosity measurement by approximately the square of the point estimate of sigma on average. O The unit weights of concrete specimens deviate from the least squares line by approximately the point estimate of sigma on average. O Porosity measurements deviate from the least squares line by approximately the square of the point estimate of sigma on average. O The unit weights of concrete specimens deviate from the least squares line by approximately the square of the point estimate of sigma on average.
(d) Calculate the residual corresponding to the first observation. (Round your answer to two decimal places.) Calculate the residual corresponding to the second observation. (Round your answer to two decimal places.) (e) Calculate a point estimate of o. (Round your answer to two decimal places.) Interpret the above point estimate of a. Porosity measurements deviate from the least squares line by approximately the point estimate of sigma on average. O Porosity measurements deviate from sample mean porosity measurement by approximately the square of the point estimate of sigma on average. O The unit weights of concrete specimens deviate from the least squares line by approximately the point estimate of sigma on average. O Porosity measurements deviate from the least squares line by approximately the square of the point estimate of sigma on average. O The unit weights of concrete specimens deviate from the least squares line by approximately the square of the point estimate of sigma on average.
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

Transcribed Image Text:(d) Calculate the residual corresponding to the first observation. (Round your answer to two decimal places.)
Calculate the residual corresponding to the second observation. (Round your answer to two decimal places.)
(e) Calculate a point estimate of o. (Round your answer to two decimal places.)
Interpret the above point estimate of a.
O Porosity measurements deviate from the least squares line by approximately the point estimate of sigma on average.
O Porosity measurements deviate from sample mean porosity measurement by approximately the square of the point estimate of sigma on average.
O The unit weights of concrete specimens deviate from the least squares line by approximately the point estimate of sigma on average.
O Porosity measurements deviate from the least squares line by approximately the square of the point estimate of sigma on average.
O The unit weights of concrete specimens deviate from the least squares line by approximately the square of the point estimate of sigma on average.

Transcribed Image Text:No-fines concrete, made from a uniformly graded coarse aggregate and a cement-water paste, is beneficial in areas prone to excessive rainfall because of its excellent drainage properties. The article "Pavement Thickness Design for No-Fines Concrete Parkir
employed a least squares analysis in studying how y = porosity (%) is related to x = unit weight (pcf) in concrete specimens. Consider the following representative data.
y =
LUSE SALT
Relevant summary quantities are Σ×, = 1640.9 ΣΥ, = 299.1, Σx2 = 180,022.35, Σxy = 32,248.04, Σy} = 6405.49.
(a) Obtain the equation of the estimated regression line. (Round all numerical values to four decimal places.)
Create a scatterplot of the data and graph the estimated line.
120
y
125-
115)
x 99.2 101.2 102.6 103.1 105.3 107.2 108.9 110.7
y 28.7 28.0 26.9 25.1 22.9 21.4 21.0 19.4
x 112.0 112.6 113.5 114.0 115.0 115.5 120.1
y 16.9 19.0 16.2 16.5 12.9 13.5 10.7
105
110-
100
O
10
15
20
25
30
X
y
30
25
20
15
10
o
100 105
110 115
120
125
y
30
25
20
15
10
100 105
110 115
120
X
125
y
125
120
115
110-
105
100
O
10
15
20
25
30
X
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