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Mathematics 11 Online
OpenStudy (anonymous):

Medal and Fan its either A or B..

OpenStudy (anonymous):

How could the relationship of the data be classified? A. A fairly strong positive correlation B. A fairly weak positive correlation C. A fairly strong negative correlation D. A fairly weak negative correlation

OpenStudy (anonymous):

OpenStudy (anonymous):

Mostly A because they are close to each other and it increase if it was B the dots would be more apart from each like being placed any where

OpenStudy (anonymous):

ok thank you,... do you think you can help with one more?

OpenStudy (anonymous):

wait are u in algebra 1 FLVS?

OpenStudy (anonymous):

nope

OpenStudy (anonymous):

oh ok

OpenStudy (anonymous):

Would you by any chance know these? Given the data set for the height and shoe size of every student in a math class, hypothesize a relationship between the variables. I would expect the data to be positively correlated. I would expect the data to be negatively correlated. I would expect no correlation. There is not enough information to determine correlation. Analyze the following statement: Marcus notices that he runs faster in the mornings rather than the evenings. Is the statement an example of correlation or causation? Correlation, because time of day doesn't cause a person to run faster or slower Causation, because Marcus has noticed this over several trials No relationship, because time of day has nothing to do with how fast a person runs There is not enough information to make a conclusion

OpenStudy (anonymous):

For the first one I thought it was A

OpenStudy (anonymous):

And for the second I think it might be A or C

OpenStudy (anonymous):

@Anonymous1321 i fan and and gave u a medal ! :)

OpenStudy (anonymous):

i think C and thanks :)

OpenStudy (anonymous):

Can you explain.....

OpenStudy (anonymous):

nvm i think A, i looked at an example of one done and shows positive

OpenStudy (anonymous):

oh ok thank you thank you!!! How about the second one tho

OpenStudy (anonymous):

second what

OpenStudy (anonymous):

second question

OpenStudy (anonymous):

Analyze the following statement: Marcus notices that he runs faster in the mornings rather than the evenings. Is the statement an example of correlation or causation? A. Correlation, because time of day doesn't cause a person to run faster or slower B. Causation, because Marcus has noticed this over several trials C. No relationship, because time of day has nothing to do with how fast a person runs D. There is not enough information to make a conclusion

OpenStudy (anonymous):

ok thank you number 1 was A!! 2 was A as well!! But the last one was A too!! But i still got an 80 so thank you so much for ur help

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