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.
I have already done most of part one, but I don't understand what it means by model.
Is the line linear or curved?
Linear
use equation y=mx+b to find the equation of the line
actually never mind, i read the question wrong
Okay
I guess the correlation is that the amount of time studying is proportional to the grade on the test
It has a positive correlation, because the y value increases alongside the x value.
The only problem I have is the model.
are they maybe asking what type of graph is best?
No, I have to use a scatter plot.
hmmm, maybe find the equation of the line using y=mx+b which will model the graph
have you done that in class?
I haven't used slop-intercept form in this module yet, and it wasn't in the lesson.
ok, so for part 2 when they are asking for line of best fit are you just supposed to connect the dots?
Not quite. I just had Excel calculate it. That's not what I'm having trouble on, though. I don't know what it means by model.
ya sorry dude, i don't quite get what it's asking. bump your question to the top and see if someone else can help.
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