Help long Question i have a little done...
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.)
I already Have the scatterplot with the line of best fit
I think its a positive correlation too
I really only need Part 3
You have the positive correlation correct:) f it would've been the other way. the correlation would've been negative:) So..you're correct one that part:)
Oh ok c: its cuz i saw it was going up so it waz positive and was in a line like a correlation
|dw:1406421957897:dw| If it makes an N then it's negative. If it doesn't then it's positive like the one above:) Part 3? Wanna start?
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