Densidad, x Rigidez, y Densidad, x Rigidez, y 9,50 14 814 8,40 17 502 9,80 14 007 11,00 19 443 8,30 7573 9,90 14 191 8,60 9714 6,40 8076 7,00 5 304 8,20 10 728 17,40 43 243 15,00 25 319 15,20 28 028 16,40 41 792 16,70 49 499 15,40 25 312 15,00 26 222 14,50 22 148 14,80 26 751 13,60 18 036 25,60 96 305 23,40 104 170 24,40 72 594 23,30 49 512 19,50 32 207 21,20 48 218 22,80 70 453 21,70 47 661 19,80 38 138 21,30 53 045 a. Obtain the fitted regression line based on the data obtained. ý =bo+ bx, b. Obtain the coefficient of determination R² c. Calculate the mean squared error S² d. Construct the confidence interval using x = 15 e. Construct the prediction interval using x = 15.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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In the manufacture of commercial wood products, it is important to estimate the relationship between the density of a wood product and its stiffness. 
between the density of a wood product and its stiffness. A relatively new type of chipboard is being considered 
chipboard that can be formed much more easily than the already accepted commercial product. It is 
It is necessary to know at what density its stiffness is comparable to that of the well known and documented commercial product. 
documented commercial product. Thirty particleboard boards were produced with densities ranging from approximately 
8 to 26 pounds per cubic foot and their stiffness was measured in pounds per square inch. The following table 
the data obtained are presented. 
Calculate the following with a significance level of 95%.


It is recommended in excel  



Densidad, x
Rigidez, y
Densidad, x
Rigidez, y
9,50
14 814
8,40
17 502
9,80
14 007
11,00
19 443
8,30
7573
9,90
14 191
8,60
9714
6,40
8076
7,00
5 304
8,20
10 728
17,40
43 243
15,00
25 319
15,20
28 028
16,40
41 792
16,70
49 499
15,40
25 312
15,00
26 222
14,50
22 148
14,80
26 751
13,60
18 036
25,60
96 305
23,40
104 170
24,40
72 594
23,30
49 512
19,50
32 207
21,20
48 218
22,80
70 453
21,70
47 661
19,80
38 138
21,30
53 045
Transcribed Image Text:Densidad, x Rigidez, y Densidad, x Rigidez, y 9,50 14 814 8,40 17 502 9,80 14 007 11,00 19 443 8,30 7573 9,90 14 191 8,60 9714 6,40 8076 7,00 5 304 8,20 10 728 17,40 43 243 15,00 25 319 15,20 28 028 16,40 41 792 16,70 49 499 15,40 25 312 15,00 26 222 14,50 22 148 14,80 26 751 13,60 18 036 25,60 96 305 23,40 104 170 24,40 72 594 23,30 49 512 19,50 32 207 21,20 48 218 22,80 70 453 21,70 47 661 19,80 38 138 21,30 53 045
a. Obtain the fitted regression line based on the data obtained.
ý =bo+ bx,
b. Obtain the coefficient of determination R²
c. Calculate the mean squared error S²
d. Construct the confidence interval using x = 15
e. Construct the prediction interval using x = 15.
Transcribed Image Text:a. Obtain the fitted regression line based on the data obtained. ý =bo+ bx, b. Obtain the coefficient of determination R² c. Calculate the mean squared error S² d. Construct the confidence interval using x = 15 e. Construct the prediction interval using x = 15.
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