Help! -le flail- Will Medal
this is the table
Part A: What would most likely be the number of sweaters sold if the temperature is 27 degrees Celsius? Part B: Predict a possible correlation coefficient for the data in the table and explain why you think your prediction is a good value for the data. Part C: George says that if a discount is given on the sweaters, the sale of sweaters would increase. Is this an example of correlation or causation? Justify your answer.
Do you know how to solve it?
To be honest I probably would understand it if I didn't have a splitting headache from the construction going on outside.... I would really appreciate the help
what is the pattern? number of sweaters sold is decreasing by the same value
decreasing by 8 per every -2 degrees c?
yeah so now we can say that for every one degree the value is decreasing by 4
so A would be 142
yes
okay! cool, on to part B!
ok so lets make a function out of the data since its linear we can use y=mx + b
what is the slope m rise/run
4?
yes because for every one x there is 4 up
but the table has intervals of 2 degrees, so wouldn't it be 8?
you could say 8/2 8 y for every 2 x but 8/2 = 4
so is that the slope or the answer or what. sorry man theyre digging up some sort of water line and my ears are practically ringing T.T
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