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(H0) If the (original )coefficient of holidays is 0, while its sample standard deviation is 0.0975, then according t distribution for degree of freedom being 10 (Samples Size)-2 (Coefficient Amount)=8, -1.425/0.0975 should be at the very tail of the bell curve. Thus the probability for a sample observation of a 0 coefficient, -1.425/0.0975, to occur is very low. Usually they integrate PDF before -1.425/0.0975 and double it for symmetricity of t distribution to demonstrate how low the "altogether" probability is and say it's an almost imposible event.
AbsentDays= 48 -1.425Holidays
The first thing I notice is the link between pay scale and days absent. There pay scale is inversly porportional to the days they are absent. Employee I just needs the sack by the looks of things.
I think some of the data from the table is missing, or I'm not reading it right.
EMPLOYEE DAYS PAY HOLIDAY AGE
Help meee! I need to hypothetically show my findings to the 'board of directors' in one week's time. But what findings? I think i need to find the correlation between things, but what? I dont know what is relevant and what is not. Im really stuck if anyone can help!