Consider the following regression resultis- i4 = -.08 - .05((ia- i)/3)(2.3) (1.4)Where as usual int is the YTM on an n period bond at time t and numbers in brackets below theequation are t-ratios. Discuss these results. What do they say? Are they typical in the literature?

Given: The regression result is: i3,t+1-i4,t=-0.08-0.05(i4,t-it)3…

Answered: Consider the following regression…

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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A graphing calculator is recommended. If a rock is thrown upward on the planet Mars with a velocity 14 m/s, Its height in meterst seconds later is given by y 14t-1.8622. (Round your answers to two decimal places.) (a) Find the average velocity (in m/s) over the given time intervals. () (1,2) () (1, 1.5) () (1, 1.4) (v) [1, 1.01) (v) (1, 1.001) m/s m/s m/s m/s m/s (b) Use your answers from part (a) to estimate the instantaneous velocity of the rock (in m/s) when t - 1. m/s
11:17. The following is a monthly trend equation: Ye = 20 + 2X ...(*) %3D (Origin : Jan., 1992; X unit = One month ; Y unit = Monthly sales (in '000 Rupees)]
Assume in a regression, SSR = 2* SSE. What is the coefficient of determination (R-sq)? provide solution in decimal form
10. You estimated a regression with the following output. Source | SS df MS Number of obs = 333 -------------+---------------------------------- F(1, 331) = 4608.21 Model | 32636494.1 1 32636494.1 Prob > F = 0.0000 Residual | 2344225.8 331 7082.25316 R-squared = 0.9330 -------------+---------------------------------- Adj R-squared = 0.9328 Total | 34980719.9 332 105363.614 Root MSE = 84.156 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | 30.79902 .4537022 67.88 0.000 29.90652 31.69153 _cons | 20.85313 42.1964 0.49 0.621 -62.1538 103.8601…
correct the x pls ty!
An investigation into the relationship between an adolescent mother's age x in years and the birth weight y of her baby in grams yielded the regression equation y= - 1163.45 + 245.15x as well as r = .88369, r2= .78091, SSE = 337212.45, and s= 205.30844 1) What is the predicted birth weight for a baby brn to a 17 year old woman? 2) What is the propotion of the variability in the weights of babies born to adolescent mothers that is accounted for by the mother's age? 3) For every additional year in the mother's age that mean birth weight of the baby? (a) increases by about 245g (b) decreases by about 245g (c) increases by about 1163g (d) increases by about 1163g (e) changes by an amount that cannot be determined from the information given.
Complete the missing information for this regression model (df= 23). Y' 1.0 X, .50 X, 25.1 1.2 X, + + (2.1) (1.5) (1.3) (.06) standard errors () () () (11.9) () t ratios () () Significant at .05?
2. You estimated a regression with the following output. Source | SS df MS Number of obs = 332 -------------+---------------------------------- F(1, 330) = 2.32 Model | 71599.1822 1 71599.1822 Prob > F = 0.1284 Residual | 10170207.7 330 30818.8111 R-squared = 0.0070 -------------+---------------------------------- Adj R-squared = 0.0040 Total | 10241806.9 331 30942.0147 Root MSE = 175.55 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | .7575183 .4969893 1.52 0.128 -.2201484 1.735185 _cons | 28.87757 42.80371 0.67 0.500 -55.32498 113.0801…

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Consider the following regression result is1- i4: = -.08 - .05((ia-)/3) (2.3) (1.4) Where as usual int is the YTM on an n period bond at timet and numbers in brackets below the equation are t-ratios. Discuss these results. What do they say? Are they typical in the literature?