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Mathematics 13 Online
OpenStudy (anonymous):

PLEASE HELP ! MEDAL AND FAN !!

OpenStudy (anonymous):

The table represents data collected on the time spent studying (in minutes) and the resulting test grade. Time Spent Studying (min) 52 37 31 9 26 40 22 10 45 34 19 60 Grade on Test 95 84 72 58 77 86 72 43 90 81 62 98 Part 1: Create a scatter plot with the predicted line of best fit drawn on it. Determine the type of correlation (if any) and predict the model that will be used. Part 2: Find the line of best fit for the data either by hand or using technology. Explain your method. Find the predicted score for each time listed in the table. Part 3: Find the residuals and decide if your model is a good fit. Explain your method. (If your model is not a good fit, complete Part 2 again with a different set of points or choose a different model.)

OpenStudy (anonymous):

@campbell_st @undeadknight26

OpenStudy (anonymous):

@justnick09

OpenStudy (campbell_st):

have you done the scatter plot...?

OpenStudy (justnick09):

stop the tagging please

OpenStudy (campbell_st):

this is a question the can be done by using a spreadsheet like excel... it will do parts 1 and 2 for you, quickly and easily... it will probably do residuals as well. So I' suggest you put the data into a spreadsheet, do a scatter plot by selecting it from the graph options.. it will also do line of best fit.

OpenStudy (anonymous):

@justnick09 ok, bye. @campbell_st that is what i was trying to avoid but thanks

OpenStudy (justnick09):

sorry if i sounded like a jerk its just been about 6 people tagging me in things.

OpenStudy (anonymous):

i need help on this!!

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