|1. Suppose that we are interested in measuring the relationship between hourly wageand output productivity in the U.S economy. Variables hrwage, and outphr, denotethe average hourly wage and output productivity in the U.S economy for year t. Westart by estimating the model specification shown in equation (1) belowlog(hrwage) = -5.2 +1.53 log(outphr.),(0.033) (0.09)n = 41, R² = 0.967.i. Briefly comment on the value of the coefficient of determination, R², asshown in (2).ii. Test the null hypothesis that the elasticity of output productivity on hourlywage is zero against its two-tailed alternative at the 95% significance level.iii. Show how you can use the coefficient of determination, R², to test the nullhypothesis that B₁ is equal to zero against $₁0 at the 95% significancelevel. How does your answer compare to that in (ii)?

Given that the coefficient of determination R2 is 0.967. the regression equation is: log(hrwage) =…

Answered: 1. Suppose that we are interested in…

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 equation was estimated using the data in CEOSALI: log (salary) = 4.322 + .276 log(sales) + .0215 roe – .00008 roe? (.00026) (.324) (.033) n = 209, R? = .282. (.0129) This equation allows roe to have a diminishing effect on log(salary). Is this generality necessary? Explain why or why not.
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2
The data in the table below shows the intensity and loudness level of variaous sounds a. Create a scatter plot for the data. b. Use the scatter plot to determine whether an exponential function, a logarithmic function, or a linear function is the best choice for modeling the data Intensity-watt per Meter2 (x) 0.1 3 25 97 Loudness Level- decibels (y) 109 120 131 141
log10(E) = 4.8 + 1.5M
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The table below is a record of the number of miles driven between stops for gas and the amount of money spent to fill up the gas tank in Sophia’s car over several months. Sophia’s Gas Fill Up LogMiles Driven, x 346 309 336 310 325 274 324Cost to Fill up ($), y 27.69 25.08 25.74 24.56 24.94 22.05 26.28 Step 1 of 2: Find an equation of the least-squares regression line. Round your answer to three decimal places, if necessary.
Suppose that in a logistic model the percentage growth rate G per year (in decimal form) as a function of N declines from G = 0.12 when N = 0 to G = 0 when N= 366. (a) What is the r value? r = (b) What is the carrying capacity? K = (c) At what value of N will there be a maximum growth rate? N = | Need Help? Read It
6. List 3 similarities and 3 differences of the two functions below: 13 y=5* and y=log;x

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