The shear resistance of soil, y kPa, is determined by measurements as a function of the normal stress, xkPa. The data are as shown below. Find the regression model, and the coefficient of correlationy10 14.08X11 15.5712 16.9413 17.6814 18.4915 19.5516 20.6817 21.7218 22.8019 23.8420 24.7921 25.67

The variable x be the function of the normal stress kPa, and y be the shear resistance of soil kPa.

Answered: The shear resistance of soil, y kPa, is…

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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Annual high temperatures in a certain location have been tracked for several years. Let � represent the year and � the high temperature. Based on the data shown below, calculate the regression line (each value to two decimal places).y = x + x y 5 17.4 6 16.12 7 17.94 8 19.86 9 16.28 10 16.6 11 20.22 12 17.14 13 18.76 14 18.08 15 17.2 16 17.82
The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 58 inches. Is the result close to the actual weight of 572 pounds? Use a significance level of 0.05. Chest size (inches) 46 57 53 41 40 40 Weight (pounds) 384 580 542 358 306 320 LOADING... Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? y=nothing+nothingx (Round to one decimal place as needed.)
An unknown metal has been found and the following experimental results have been tabulated in the table below. The table contains the grams of the unknown metal and the volume in milliliters of water displacement. Find a linear model that expresses volume as a function of the mass. grams 13 Volume in ml 34.9 15.5 42.9 18 48.8 20.5 56.7 23 63 25.5 67.8 28 75.9 A) Write the linear regression equation for the data in the chart. Volume = x+ where x is the grams of the unknown metal. Round your answers to 3 decimal places B) If the mass of an unknown metal is 11, using your un- rounded regression equation find its predicted volume. Round your answer to 1 decimal place. mL
Annual high temperatures in a certain location have been tracked for several years. Let ✗ represent the year and Y the high temperature. Based on the data shown below, calculate the regression line (each value to two decimal places). = y 3 19.17 4 18.36 5 21.15 6 22.34 7 23.93 8 26.02 9 24.51 10 28.7 11 30.59 12 | 29.08 13 31.07 14 35.36 15 32.85 16 36.74 17 37.93 X +
An unknown metal has been found and the following experimental results have been tabulated in the table below. The table contains the grams of the unknown metal and the volume in milliliters of water displacement. Find a linear model that expresses volume as a function of the mass. grams Volume in ml 20 222.3 21.5 246.2 23 258.2 24.5 277.8 26 291.9 27.5 318.1 29 322.3 A) Write the linear regression equation for the data in the chart.Volume = �+ where x is the grams of the unknown metal. Round your answers to 3 decimal places B) If the mass of an unknown metal is 18, using your un-rounded regression equation find its predicted volume. Round your answer to 1 decimal place.
Find the Pearson r Correlation Coefficient: r = Blank 1 Find the equation of the regression line: y = Blank 2x + Blank 3 Estimate the amount of particulate removed when the daily rainfall is x = 4.8 units: Blank 4 μg/m3
Annual high temperatures in a certain location have been tracked for several years. Let X represent the year and Y the high temperature. Based on the data shown below, calculate the regression line (each value to two decimal places). y = X + y 5 18.35 16.44 7 17.43 8 17.32 9 18.51 10 18.8 11 15.59 12 15.88 13 17.47 14 17.56 15 15.55 16 18.74 17 17.83 18.12 19 15.41 20 18.7 Question Help: DVideo O 00
Annual high temperatures in a certain location have been tracked for several years. Let X represent the year and Y the high temperature. Based on the data shown below, calculate the regression line (each value to two decimal places). y = X + y 19.56 2 3 20.25 4 17.14 18.13 6 16.82 7 15.11 8 10.2
The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 40 inches. Is the result close to the actual weight of 352 pounds? Use a significance level of 0.05. Chest size (inches) *Weight (pounds) 44 54 328 528 41 55 39 51 418 580 296 503 Click the icon to view the critical values of the Pearson correlation coefficient r. - What is the regression equation? x (Round to one decimal place as needed.)
A study is conducted to determine the relationship between a driver’s age and the number of accidents he or she has over a 1-year period. The data are presented in table below. c. Test the significance of the correlation coefficient at  = 0.05. d. Is it significant to construct a regression equation?
Based on the data shown below, calculate the regression line (each value to two decimal places) y = X + Enter an integer or decimal number [more..] X y 18.66 20.18 5 21.4 6 22.22 7 21.44 8 23.56 9 22.28 10 22.6 3 4
Annual high temperatures in a certain location have been tracked for several years. Let X represent the year and Y the high temperature. Based on the data shown below, calculate the regression line (each value to two decimal places). y = X+ y 1 30.12 2 30.98 3 26.34 4 23.8 5 25.46 6 20.02 7 19.68 8 17.64 9 17.7 16.26 10 11 14.32 12 11.88 13 9.94 14 6.8 Question Help: Video Message instructor Submit Question Jump to Answer 80 F3 F4 F2 W 6 X H H # 3 E D $ R FL % F5 T 6 MacBook Air F6 & 7 Y G H AA F7 U * 00 8 J DII F8 I ( 9 DD F9 K 0

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