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Mathematics 14 Online
OpenStudy (anonymous):

WILL GIVE MEDAL + FAN!!!!

OpenStudy (anonymous):

OpenStudy (anonymous):

@iGreen

OpenStudy (anonymous):

i say possibly b

OpenStudy (anonymous):

yh its b

OpenStudy (anonymous):

what do you think @AMYCARTER

OpenStudy (mathmate):

To answer this question, you need to determine the model for the data. If it is a straight line, then there is only one correlation, positive, negative or zero. If the model consists of two straight lines, then each segment may have a different correlation (but highly unlikely to be opposing). What kind of model do you think will fit the situation?

OpenStudy (anonymous):

I was thinking either A or B @Drizzt

OpenStudy (anonymous):

I think it's either a positive or negative correlation @mathmate

OpenStudy (mathmate):

So which one?

OpenStudy (mathmate):

Also, try to put the physical problem in the background as well. The beginning of the experiment gives an increase in efficiency as temperature goes up, then it slows down a little. Is it a positive or negative correlation?

OpenStudy (mathmate):

or both?

OpenStudy (mathmate):

|dw:1420493774230:dw|

OpenStudy (mathmate):

Can you distinguish the correlations among the three cases, A, B and C as positive, negative and no correlation?

OpenStudy (anonymous):

I think it's B @mathmate

OpenStudy (mathmate):

B says both positive and negative correlation. The points do go up and down. But you have to decide whether these are experimental errors/variations and decide on your model. Which model do you think fits the data? |dw:1420494057878:dw| The straight line or the jagged line?

OpenStudy (mathmate):

Remember modelling does not mean the model should fit every point. It should give a reasonable approximation to all the points, and yet comes up with a natural model. Nature does not have sharp edges, unless there is a special explanation at every sudden turn.

OpenStudy (mathmate):

|dw:1420494331807:dw|

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