Hospital Length of Stay (months) for 16 Patients110.510.024.52.037.54.0412.011.057.511.069.011.076.06.585.05.096.08.01012.016.0117.06.5124.56.0133.53.5146.010.0157.57.0163.05.5Obtain the regression equationCalculate R2

Data given X=10.5,4.5,7.5,12,7.5,9,6,5,6,12,7,4.5,3.5,6,7.5,3…

Answered: Hospital Length of Stay (months) for 16…

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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number of fruits spoiled frequency 0 3 1 14 2 11 3 9 4 9 5 2 6 2 7 3 14 1 25 1 build a steam and leaf chart with the information above
Identify the following values. Consider the function shown with a graphical depiction of limƒ ( x = L , including the roles XC of & and d. 201 1.8- 1.6 1.4- 1.2- Y 1.0- 0.8- 0.6- 0.4 0.2- 0.0+T 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 2.2 1. 1.6 2. 1.0 E = 3. 0.4 = %3D 4. 0.6 >
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A simple random sample of size n is drawn from a population that is normally distributed. The sample mean, x, is found to be 114, and the sample standard deviation, s, is found to be 10. (a) Construct a 96% confidence interval about µ if the sample size, n, is 21. (b) Construct a 96% confidence interval about µ if the sample size, n, is 12. μ (c) Construct an 80% confidence interval about µ if the sample size, n, is 21. (d) Could we have computed the confidence intervals in parts (a)-(c) if the population had not been normally distributed? Click the icon to view the table of areas under the t-distribution. (a) Construct a 96% confidence interval about µ if the sample size, n, is 21. Lower bound: Upper bound: (Use ascending order. Round to one decimal place as needed.)
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Customer Waiting Times Customer Waiting Times (in minutes) 6.6 6.4 6.4 7.3 7.4 6.6 7.7 7.3 7.2 6.9 6.3 7.4 6.7 6.9 12.8 6.6 7.4 7.5 14.5 7.3 6.3 7.4 6.6 11.8 7.8 6.5 6.3 7.8 6.8 7.5 7.4 7.5 7.7 14.8 7.6 8.2 7.5 6.7 8.8 7.7 6.8 6.7 13.8 7.1 7.8 6.7 8.9 6.2 4.2 7.5 6.1 7.6 6.7 6.4 6.8 7.7 7.3 6.2 6.2 7.3
question The table below shows the frequency distribution of the weights (in grams) of pre-1964 quarters. Ch stogram below. Weight (g) 6.000-6.049 Frequency OA. 10- 6.050-6.099 4 6.100-6.149 7 6.150-6.199 10 0- 6.2 6.3 6.4 6.200-6.249 11 Weight (grams) 6.250-6.299 6 6.300-6.349 3 OB. 6.350-6.399 1 10- Use the frequency distribution to construct a histogram. Does the histogram appear to depict data that have a normal distribution? Why or why not? 6.1 6.3 6.4 Weight (grams) OC. 20- 15- 10- 6.1 6.2 6.3 6.4 Weight (grams) Does the histogram appear to depict data that have a normal distribution? O A. The histogram does not appear to depict a normal distribution. The frequencies generally decrease to a minimum and then increase, and the histogram is roughly symmetric. O B. The histogram appears to depict a normal distribution. The frequencies generally increase to a maximum and then decrease, and the histogram is roughly symmetric. OC. The histogram does not appear to depict a normal…
End of month S&P 500 End of month S&P 500 End of month S&P 500 End of month S&P 500 September-77 96.53 April-80 106.29 November-82 138.53 July-85 191.85 October-77 92.34 May-80 111.24 December-82 140.64 August-85 190.92 November-77 94.83 June-80 114.24 January-83 145.30 September-85 188.63 December-77 95.10 July-80 121.67 February-83 148.06 October-85 182.08 January-78 89.25 August-80 122.38 March-83 152.96 November-85 189.82 February-78 87.04 September-80 125.46 April-83 164.43 December-85 202.17 March-78 89.21 October-80 127.47 May-83 162.39 January-86 211.28 April-78 96.83 November-80 140.52 June-83 167.64 February-86 226.92 May-78 97.24 December-80 135.76 July-83 162.56 March-86 238.90 June-78 95.53 January-81 129.55 August-83 164.40 April-86 235.52 July-78 100.68 February-81 131.27 September-83 166.07 May-86 247.35 August-78 103.29 March-81 136.00 October-83 163.55 June-86 250.84 September-78 102.54 April-81 132.81 November-83 166.40…
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1	10.5	10.0
2	4.5	2.0
3	7.5	4.0
4	12.0	11.0
5	7.5	11.0
6	9.0	11.0
7	6.0	6.5
8	5.0	5.0
9	6.0	8.0
10	12.0	16.0
11	7.0	6.5
12	4.5	6.0
13	3.5	3.5
14	6.0	10.0
15	7.5	7.0
16	3.0	5.5

Hospital Length of Stay (months) for 16 Patients 1 10.5 10.0 2 4.5 2.0 3 7.5 4.0 4 12.0 11.0 5 7.5 11.0 6 9.0 11.0 7 6.0 6.5 8 5.0 5.0 9 6.0 8.0 10 12.0 16.0 11 7.0 6.5 12 4.5 6.0 13 3.5 3.5 14 6.0 10.0 15 7.5 7.0 16 3.0 5.5 Obtain the regression equation Calculate R2