Managerical stats problem - Speech or Presentation Example

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Q3) The average stock price for companies making up the S&P 500 is $30, and the standard deviation is $8.20(business week, special annual issue, spring 2003). Assume the stock prices are normally distributed.
Q4) In an article about the cost of health care, Money magazine…

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Subject: Statistics
Type: Speech or Presentation
Level: Undergraduate
Pages: 3 (750 words)
Downloads: 2
Author: ydaugherty

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The National Football League (NFL)records a variety data for individuals and team (http://www.nfl.com).Some of the year-end performance data for the 2005 season appear on the data disk in the file NFL Stats. Each row of the data set corresponds to an NFL team, and the teams are ranked by winning percentage. Descriptions for data follow: WinPct : Percentage of games won, DefYds/G: Average number of yards per gam given up on defense, Rush Yds/G: Average number of rushing yards per game PassYds/G: Average number of passing yards per game, FGPct: Percentage of field goals, TakeInt: Takeaway interceptions; the total number of interceptions made by the teams defense, Takefum: Takeaway fumbles; the total number of fumbles recovered by the teams defense, GiveInt: Giveaway interceptions; the total number of interceptions thrown by the teams offense, GiveFum; Giveaway fumbles; the total number of fumbles lost by the teams offense 6.

Starting with the estimated regression equation developed in question 1, delete any independent variables that are not useful (i.e., the variable with p_value bigger than 0.05). Use the variables left, run the regression (Y variable is the same). 3. r2 = 0.419 meaning that 42 % of the dependent variable (Winpact) can be explained by the independent variables: DefYds/G, RushYds/G, PassYds/G and FGPct. This means that about 58 % cannot be explained as a result the equation is not very useful. 4.

From the regression equation it seems the independent variable, RushYds/G has the largest positive effect on the independent variable by 0.004249, DefYds/G decreases the dependent variable by a multiple of 0.00333 while PassYds/G has a positive multiple effect by 0.000375 and finally FGPct decreases the independent variable by a scale of – 0.00064 7. r2 = 0.266 meaning that 26 % of the dependent variable (Winpact) can be explained by the independent variables:

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