(a)According to experimental data, the intensity of scattered sunlight in the atmosphere I is inverseproportional to the wavelength in the power n, 1 = A/2". Consider the pseudo-experimental datashown in the Table where and I are presented in the normalized dimensionless variables.(b)2350400 450 500 550600650700 750 800I 6.1.10 4.9-10 1.9-10 2.1-10 6.5-10 9.3-106 6.5-10 3.5-10 3.8-10° 2.5-106Using the statistical analysis, determine the exponent n and constant A.Present the result with the determined constants in the form I(2) = A2™".(c)Present the plot 1(2) in the log-log scale. Show the data given in the table andbest fit line.

The given data is as follows:I…

Answered: (a) (b) According to experimental data,…

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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Similar questions

A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-1.307 b=32.392 r²=0.675684 r=-0.822 Use this to predict the number of situps a person who watches 12.5 hours of TV can do (to one decimal place)
Scientists are looking at the effects of global warming on clutches of sea turtle hatchlings in different parts of the world. The data below has been collected: 1.Temperature of Incubation (in Kelvin) 2. Gender Group of Hatchling Clutch (0=0% male; 1= greater than 0% but less than or equal to 10% male; 2= greater than 10% but less than 20% male; 3= greater than 20% but less than or equal to 30% male and so on) 3. Number of hatched eggs 4. number of unhatched eggs 5. Location of Turtles (0=west North America; 1= west South America; 2= tropical regions of Pacific; 3= northwestern Atlantic; 4= Indian Ocean Which of the above variables are measured using a nominal scale, ordinal scale and ratio scale. (An answer can be none of variables) thank you
Round to two decimal places as needed.
A4
All data entries are listed in Excel photo.
Consider the data on climate change below: Variable Intercept CO2 Coefficient SE(Coeff) 0.1584 0.0004 T-ratio -20.1 22.1 P-value |-3.17933 <0.0001 <0.0001 0.00992 s=0.0885 with 58-2=56 degree of freedom. R squared = 89.7%. The response variable is temperature. %3D Then CO2 level for this data is 352.6ppm. a) Find a 90% confidence interval for the mean global temperature anomaly if the CO2 level reaches 450ppm. b) Fina a 90% prediction interval for the mean global temperature anomaly if the CO2 level reaches 450ppm. c) The goal of the Paris climate agreement is to a temperature anomaly of about 1.3degC in our data. If CO2 level do reach 450ppm, would this be a plausible value?
3. A study of beer consumption using the annual data from 1980 -2001 produced the following regression: Y = 0.41 +0.052.X₁; −0.047X2; +0.032X3; −0.018X4i (0.027) (0.011) (0.009) (0.008) (0.009) R² = 0.94 F = 66.58 DW statistic=1.32, figures in the brackets are standard errors Where: Y₁ = Annual aggregate beer consumption in year t (billion pints) X₁₁ = Real disposable income income in year t ($ billions at 2001 prices) X2i = Price of beer in year t (index number with 2001 = 100) X31 Price of wine and sprits in year t (index number with 2001 = 100) = X4₁ = Price of cigarettes in year t (index number 2001 = 100) (a) What is the effect of a change in the price of beer on beer consumption? Does it have the correct sign? Explain. (b) Comment on the signs of the other three coefficients. Are they as expected? (c) Tests the significance of the coefficients on each of the variables Xit i = 1, 2, 3, 4. What assumptions have you made in carrying out these tests? (d) What conclusion do you draw…
A manufacturer of front light for automobiles tests lamps under a high humidity, high temperatu 22 Useful life ... Satifactory Unsatifactory Satisfactory 115 3 Intensity Unsatifactory 10 2 re environment using intensity and useful life as the responses of interest. The following table shows the performance of 130 lamps: (a) Find the probability that a randomly selected lamp will yield unsatisfactory results under any criteria. Round your answer to three decimal places (e.g. 98.765). (b) The customers for these lamps demand 95% satisfactory results. Can the lamp manufacturer meet this demand? Yes or No?
Your regression of 43 observations and 5 regressors shows a -2 R = 0.29. What is the value of R²? Enter your answer with two decimal places.

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