please interpret the regress result findings (sign, coefficient, statistical significance, R^2, Adjusted R^2) for each independent variable in the NBA salary model
Homework Answers
R^2 = 0.1269, means the regression model is able to explain 12.69 percentage of variation
Adjusted R^2 = 0.1228, means the regression model is able to explain 12.28 percentage of variation. Adjusted R^2 improves only if the addition of a new term increases the model fit
Laggatrevene, is positive, 0.0044275 (means 1 unit increase in laagatrevene increases the salary by 0.0044275 units), is statistically non significant as the P-value is greater than 0.05 or at 5 percent level
Lagwp48, is positive, 01.34e+07 (means 1 unit increase in Lagwp48 increases the salary by 001.34e+07 units), is statistically significant as the P-value is less than 0.05 or at 5 percent level
Coefficient is positive,3448595 (means the salary is 3448595 even when Laggatrevene and Lagwp48 is zero)
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please interpret the regress result findings (sign, coefficient,
statistical significance, R^2, Adjusted R^2) for each independent...
What does the coefficient estimate for lnNumHH tell you? Do you think there is a problem...
What does the coefficient estimate for lnNumHH tell you?
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Given the following regression output in Stata Indicate what is the effect of x2 on Y...
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Do you think there is a problem with the regression, if so what
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Given the following regression output in Stata
Indicate what is the effect of x2 on Y by testing the hypothesis
that x2 determines Y given
· regress y xl x2 Source SS dEMS Model Residual 2.6644e+092 1.3322e+09 26878436.6 12 2239869.72 Number of obs = F( 2, 12) = Prob > F R-squared Adj R-squared = Root MSE 15 594.76 0.0000 0.9900 0.9883 1496.6 Total 2.6912e+0914 2.6912 192231167 Coef. Std. Err. t >It (95% Conf. Intervall x1 2.44061 .3440342 -32137.37 6.125326...
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a) Using the table above, which coefficients are statistically
significant? And is the model significant?
b) Give me the equations to calculate the following a t-stat, an
f-stat, coefficient in an SLR, and a Standard Error.
c) What are the 6 Gauss-Markov Assumptions and what, when met,
do they say about our linear model.
d) What is the t-stat for a 95% confidence interval, with 522
degrees of freedom?...
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Interpret the coefficient on logged real gasoline price
(lnP) in terms of the sign, magnitude and statistical significance.
What does this estimate tell us about the average response of
gasoline demand to changes in prices from 1975-1980.
[lnGas = ln(gascap)
lnP = ln(realprice)
lnInc = ln(inccap)
realprice = Real price of gasoline (2000 $)
gascap = Gas demanded per capita (gallons per month)
inccap = Real income per capita (2000 $)
date = Year and month of observation (text)
year...
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Model 2
Countries have a keen interest in exploring the drivers of
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All variables with names beginning “ln” are measured in natural
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