Xx57.935.355.757.555.155.651.760.34946.6 -132.144.7249.529.2 -618.135.1-593.949.6-251.2153.6-4857.4y-546.3-225.1T =-4679555151.6-5.3612.9273.3Use your graphing calculator to determine the correlation coefficient for this data set. Round your answerto the nearest thousandth.

Answered: Image /qna-images/answer/9dc3e19d-55c3-490f-90de-255a723b2b8a.jpg

Answered: X 57.9 35.3 55.7 57.5 55.1 55.6 51.7…

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 given frequency table is given which shows the no of blood samples given by adults in a city.what % of people gave blood samples after the year 2018(from 2019 onwards} year number of people 2018 8802 2019 3434 2020 469
find Domain and range
0.4-0.021 0.021X-0021 250
2 16x+46x-35 4. X+11x-60 32x -72x+40 х 5. 3.
Read the box "The Return to Education and the Gender Gap." The Return to Education and the Gender Gap Dependent variable: logarithm of Hourly Earnings. * Regressor Years of education Female Female x Years of education Potential experience Potential experience² Midwest South West Intercept (1) 0.1035** (0.0009) 1.533" (0.012) 0.208 (2) 0.1050** (0.0009) -0.263** (0.004) 1.629" (0.012) 0.1001" (0.0011) 0.258 -0.432** (0.024) 0.0121" (0.0017) 1.697** (0.016) (4) 0.1013** (0.0012) 0.258 -0.451" (0.024) 0.0134" (0.0017) 0.0136** (0.0012) -0.000184** (0.000021) -0.095" (0.006) -0.092** (0.006) -0.028"* (0.007) 1.328" R² The sample size is 52,970 observations for each regression. Female is an indicator variable that equals 1 for women and 0 for men. Midwest, South, and West are indicator variables denoting the region of the United States (0.023) 0.267
3 3 33. 3. 1 x2
4. 18 y-7 y
Solve the range and MAD of the ff. data sets and interpret the results. 20, 27, 23, 28, 23, 25 12, 18, 24, 27, 13, 17, 18, 20 54, 54, 54, 55, 56, 57, 57, 58, 58, 60, 65 45, 59, 52, 46, 41, 26, 36, 38, 41, 39, 38, 30, 49, 46, 51 157, 133, 232, 267, 289, 274, 321, 348, 188, 432
y 8.0 8.3 X₁ x₂ X₂ X5 19.6 94.9 5.2 29.6 19.8 89.7 5.2 32.4 8.5 19.6 96.2 5.8 31.0 8.8 19.4 95.6 6.4 32.4 2.2 9.0 18.6 86.5 5.8 28.6 2.0 9.3 18.8 84.5 5.2 30.6 2.1 9.3 20.4 88.8 5.6 32.4 2.2 9.5 19.0 85.7 6.0 32.6 21 9.8 20.8 93.6 5.2 32.2 2.3 10.0 19.9 86.0 5.8 31.8 2.1 10.3 18.0 87.1 6.4 32.6 2.0 10.5 20.6 93.1 6.0 33.4 2.1 10.8 20.2 83.4 6.2 31.8 2.2 11.0 20.2 94.5 6.2 32.4 2.1 11.3 19.2 83.4 6.2 31.4 1.9 11.5 17.0 85.2 5.6 33.2 2.1 11.8 19.8 84.1 6.0 35.4 2.0 12.3 18.8 86.9 5.8 34.0 2.1 12.5 18.6 83.0 5.6 34.2 1.9 A. With x₁, x₂, X5 and x, as regressors, fit a multiple linear regression model to the given data. B. Suppose that the regressors are grouped as follows: -Group 1 (B₁): X₁, X4 X5 -Group 2 (B₂): X₂, X3, X6 Test the significance of B₁ at a = 0.05. C. From the model in (A), construct a normal probability plot of residuals (cumulative normal probability or standard normal scores vs. residuals). What can you say from this plot? D. What can you say about any influential…
Calculate the value of the range -13,-13,2,2,-13,2,-9
39. 2
30.00-22.77

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