WILL GIVE MEDAL + FAN!!!!
@iGreen
i say possibly b
yh its b
what do you think @AMYCARTER
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?
I was thinking either A or B @Drizzt
I think it's either a positive or negative correlation @mathmate
So which one?
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?
or both?
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Can you distinguish the correlations among the three cases, A, B and C as positive, negative and no correlation?
I think it's B @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?
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.
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