Question 68.346.XSuppose the datapoint marked with a red border is an outlier. What will the removal of this datapoint do to thelinear correlation coefficient that was initially computed?The re-calculated Pearson correlation coefficient would be higher than the initial coefficient.The re-calculated Pearson correlation coefficient would be lower than the initial coefficient.The re-calculated Pearson correlation coefficient would be still be equal to the initial coefficient.O insufficient information. cannot be determined.o o oo o

Here interprete the given dot plot and derive the conclusion

Answered: er. What will the removal of this…

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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The following is data for the first and second Quiz scores for 8 students in a class. First Quiz (Q1) Second Quiz (Q2) 15 15 16 13 17 15 22 21 24 24 26 21 29 27 30 27 Plot the points in the grid below, then sketch a line that best fits the data. Use the line above to predict the value of the second quiz score if a student had a score of 1212 on the first test. (Please enter a whole number)
Please answer the questions using the data in Table 8. (Note: You must use either Microsoft Excel or Minitab for this problem and include the table they produce with your work.) Questions 8A to 8C Table 8. Data for problem 8. I2 18.7 18.7 I1 9.2 9.3 9.6 9.0 11.7 8.2 11.0 10.0 10.5 8.7 18.1 21.3 21.1 19.7 19.7 19.5 16.4 19.7 13 27.4 23.8 38.1 32.4 24.6 27.0 25.0 27.5 26.3 43.1 80.6 62.8 137.3 94.8 62.0 72.6 68.2 79.5 86.9 154.1 8A. Use technology to find the multiple regression equation for the data shown in Table 8. (Note: You must use either Microsoft Excel or Minitab for this problem and include the table the app produces with your work to get full score.) 8B. Find the standard error of estimate and interpret the result. 8C. Find the coefficient of determination and interpret the result. (Note: do not use the adjusted R-square.)
Simplify. Show work
Use the data provided on Canvas. In automotive assembly processes, automation cannot always guarantee the dimensional accuracy of a car assembly as required by the design specification. Thus, some skillful workers will visually inspect those assembled car bodies and conduct manual adjustments when necessary. These workers are called "Fitter" in the automotive industry. This scenario is illustrated in the following figure. Automatic assembly process X P₁ Fitter Y P₂ One critical quality characteristics on a car assembly were measured at both P₁ (before fitter) and P₂ (after fitter). The data are labeled as X and Y, respectively, and 20 measurements are shown below. Please use the risk adjustment method to test if X and/or Y are in control. Please show X chart, Y chart and Z chart.
D. Construct a scatterpiot for the folowing data and use it to comment on between the variables. the form, direction, and strength Age of a person, years 11 12 13 14 15 16 17 18 19 20 Weight, kg 40 42 38 35 45 51 48 48 50 47 Age of a car, 2. 0.5 1.5 4.5 5 years Mileage. kmt. 16 15 10 12 10 12 11 11 10 2.
Suppose a researcher collects data on the air pollution levels, measured in milligrams per cubic meter, for both urban and rural areas in 35 states. The data is plotted with urban air pollution levels on the horizontal axis and rural air pollution levels on the vertical axis. Nevada is an outlier in the ?x‑direction. What must be true about this state? The urban air pollution levels for this state are much higher or lower than the rest of the states in the data set. The rural air pollution levels for this state are much higher or much lower than the rest of the states in the data set. This state is an influential observation. The rural air pollution levels for this state are much higher or lower than other states in the data set that have similar urban air pollution levels. The absolute value of the residual of this state is large.
L8Q6.
Please give maximum value for this data!
e55. Calculate the mode for the following data: Clais interval: 20-24 25-29 30-34 35-39 40-44 45-49 Frequency: 3. 6 5 14 7 8
Suppose that an urban geographer is studying historical changes in housing characteristics in London, England. She wishes to determine if house size (square feet of living area) and the number of years since home construction are associated. What method could she use to learn if such a relationship exists.

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