George has found a relationship between the sale of sweaters in his store and the air temperature, in degrees Celsius. The table below shows the data collected by George: Temperature (in degrees Celsius) (x) 0 2 4 6 8 10 12 14 16 Number of sweaters sold (y) 250 242 234 226 218 210 202 194 186
Part A: What would most likely be the number of sweaters sold if the temperature is 27 degrees Celsius? (3 points) 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. (4 points) 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. (3 points)
@Loser66
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@xnlovely part a 142 is the answer
I will fan and medal please help
I jus gave yo asz the answer to number 1
duhh ik that i need the rest but help not answeres
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Part C is Correlation
Read this Two events can consistently correlate with each other but not have any causal relationship. An example is the relationship between reading ability and shoe size across the whole population of the United States. If someone performed such a survey, they would find that the larger shoe sizes correlate with better reading ability, but this does not mean large feet cause good reading skills. Instead it's caused by the fact that young children have small feet and have not yet (or only recently) been taught to read. In this case, the two variables are more accurately correlated with a third: age.
@Xnlovely ya answers up there bih
@Xnlovely If you read you would see it dumbiee damn aint like im in ya grade bruh
Part B?? @Ygyoungin
@Xnlovely nai ya want help huh? Hold on playa let me do my thang
@Xnlovely Part B as long as the number of trees is equal to or under 600 the equation would be y=(x/2)+1, if over 600 then the equation is y=(x/2). because all data follows the first equation until 600 hundred tree in which it changes to the second equation after 600 trees
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