Consider data on every game played by the Brooklyn Nets in 2014 (82 games) that includes thevariables●marginį - the Net's margin of victory (number of points the Nets scored minus the number ofpoints their opponent scored) for game i, andhome; - a dummy variable equal to 1 when the Nets are the home team (game i was played intheir home arena) and equal to O when they are the away team (game i was played in theopponent's arena).I use the least-squares method to estimate the following regression modelmargin, = a + ßhome; + eiBelow is the Stata output corresponding to the estimated regression line:. regress margin home if team ==== "Brooklyn Nets".SourceModelResidualTotalmarginhome__consSS1459.9512215252.048816712df180Coef. Std. Err.MS81 206.3209888.439024 3.049595-5.219512 2.1563891459.95122190.65061tNumber of obsF(1, 80)Prob > FR-squaredP>|t|2.77 0.007-2.42 0.018=Adj R-squared =Root MSE=2.370137-9.510864=827.660.00700.08740.076013.808[95% Conf. Interval]14.50791-.9281607This output tells us the regression line equation is: margin: -5.2 + 8.4home.What was the Nets' average margin of victory for games in 2014 when they were the home team?(round to 2 decimal places)

Margin = α + βHome + e In this case home is a dummy variable that takes value 1 when it is home team…

Consider data on every game played by the Brooklyn Nets in 2014 (82 games) that includes the variables marginį - the Net's margin of victory (number of points the Nets scored minus the number of points their opponent scored) for game i, and home; - a dummy variable equal to 1 when the Nets are the home team (game i was played in their home arena) and equal to 0 when they are the away team (game i was played in the opponent's arena). I use the least-squares method to estimate the following regression model margin = a + ßhome; + ei Below is the Stata output corresponding to the estimated regression line:

Consider data on every game played by the Brooklyn Nets in 2014 (82 games) that includes the variables marginį - the Net's margin of victory (number of points the Nets scored minus the number of points their opponent scored) for game i, and home; - a dummy variable equal to 1 when the Nets are the home team (game i was played in their home arena) and equal to 0 when they are the away team (game i was played in the opponent's arena). I use the least-squares method to estimate the following regression model margin = a + ßhome; + ei Below is the Stata output corresponding to the estimated regression line:

Microeconomic Theory

12th Edition

ISBN:9781337517942

Author:NICHOLSON

Publisher:NICHOLSON

Chapter2: Mathematics For Microeconomics

Section: Chapter Questions

Problem 2.16P

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