Please answer this question for me. This is from my Business Stats setl u. when
ID: 3298273 • Letter: P
Question
Please answer this question for me. This is from my Business Stats setl u. when interpreting this particular 1.109 Flopping in the 2014 World Cup. Soccer players are often accused of spending an excessive amount of time dramatically falling to the ground followed by other activities, suggesting that a possible injury is very serious. It has been suggested that these tactics are often designed to influence the call of a referee or to take extra time off the clock. Recordings of the first 32 games of the 2014 World Cup were analyzed and there were 302 times when the referee interrupted the match because of a possible injury. The number of injuries and the total time, in minutes, spent flopping for each of the 32 teams who participated in these matches were recorded.32 Here are the data: II FLOPS Country Injuries Time Country Injuries Time 17 3.30 Uruguay 16 6.97 Greece 9 4.12 9 2.65 Brazil Chile Honduras 15 7.67 Cameroon Nigeria 15 6.42 Germany Mexico 15 3.97 Spain Costa Rica 13 3.80 Belgium USA Ecuador2 4.55 Italy France South Korea 10 4.52 England Algeria 8 3.15 b 8 1.97 1.82 7 3.38 7 2.08 1.60 12 6.40 Japan 7 2.08 10 7.32 Switzerland 7 1.35 d 10 4.05 Argentina 9 5.43 Ghana 9 5.27 Australia 6 2.80 6 1.85 1.83 4 1.82 .65 Russia Ivory Coast 9 4.63 Portugal Croatia 6 9 4.32 Netherlands Colombia 9 4.32 Bosnia and 165 c 2 0.40 HerzegovinaExplanation / Answer
Regession result
mean number of injuries is 9.2187 , and that of time is 3.704
and standard deviation of injuries is 3.6165 and that of time is 1.888
injuries vary from 2 to 17 and time vary from 0.4 to 7.67
there is positive linear relation between time and number of injuries
time^ = 0.2496 + 0.3747* injuries
we can predict the time at given number of injuries ,
this model gives 51 % of variation , which is moderate .
injuries time Mean 9.21875 Mean 3.704375 Standard Error 0.639326723 Standard Error 0.333824049 Median 9 Median 3.59 Mode 9 Mode 4.32 Standard Deviation 3.616578092 Standard Deviation 1.888393988 Sample Variance 13.0796371 Sample Variance 3.566031855 Kurtosis -0.085330722 Kurtosis -0.509006177 Skewness 0.465955313 Skewness 0.461126387 Range 15 Range 7.27 Minimum 2 Minimum 0.4 Maximum 17 Maximum 7.67 Sum 295 Sum 118.54 Count 32 Count 32