Could you please explain the answers. Thanks! . As in most professional sports,

Question

Could you please explain the answers. Thanks!
. As in most professional sports, statistics are collected in the National Hockey League. In e 2006 2007 season, teams played 82 games. A team was awarded 2 points for a win and I point if the game was tied at the end of regulation time but then lost in overtime. or each of the 30 teams, data on the number of goals scored per game (Goals/G) and the perce collected. The following graph shows the plotted points for the var Goals'G and the simple linear regression line fitted using least squares. ntage ofthe 164 possible points they won (Win%) during the season were ables Win% and 0.7 0.65- 0.6 0.55 % u 0.5 0.45-. 0.4 0.35 0.3 2.25 2.5 2.75 3 3.25 3.5 3.75 Goals/G From the computer output for the least-squares fit, the estimated equation was found to be win% = .932 + 19.022 Goals/G , r2-0.398, and s2-60.29. Also, it was determined from the output that SE-12.800 and SEA-441 8. What would the approximate 96% confidence interval be for the true slope A? A) 19.022 ± 2.054(12.800) B) 19.022 ± 2.1 54(4.41 8) C) 0.932 ± 2.154(12.800) D) 19.022 ± 2.054(4.418) E) 0.932 ±2.154 (12.800)

Explanation / Answer

5)

here degree of freedom =n-2= 30-2 =28

for 28 df and 96% CI ; crtiical t =2.1539

threfore 96% CI =estimated slope -/+ t*std error =19.022 -/+ 2.154*4.418

option B is correct

10) false ; as this can be both ; and mostly quantitative

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