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 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
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 D 2. 19.44 3. 19.8 4 16.96 16.42 6. 14.78 7 14.94 8. 12.5
Annual high temperatures in a certain location have been tracked for several years. Let Xrepresent 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 + x y 5 25.45 6 25.48 7 30.41 8 33.84 9 36.27 10 36.7 11 42.13 12 45.86 13 46.49 14 50.42 15 52.75 16 57.58 17 57.81 18 62.44
Use General Linear Test
Annual high temperatures in a certain location have been tracked for several years. Let XX represent the year and YY the high temperature. Based on the data shown below, calculate the regression line (each value to two decimal places).y = x + x y 2 14.56 3 17.18 4 18 5 17.82 6 16.04 7 17.46 8 15.68 9 15.5
Run a regression analysis on the following data set, where y is the final grade in a math class and is the average number of hours the student spent working on math each week. hours/week X 4 5 8 9 11 11 14 15 15 20 Grade y 43.6 63 65.2 70.6 65.4 74.4 81.6 82 97 100 State the regression equation y=mx+b, with constants accurate to two decimal places. What is the predicted value for the final grade when a student spends an average of 13 hours each week on math? Grade = Round to 1 decimal place.

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