Question

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.)
What does this mean?

Answer 1

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.)

Answer 2

@TwoPointInfinity

Answer 3

@iPwnBunnies

Answer 4

^^^ the actual information by @.XRaider365

Answer 5

Hmm, what you can do is find the slope of the line between the leftmost point and the rightmost point on the scatter plot. Use the slope formula, for Part B.

Answer 6

What about the line of best fit part, i already found it do I remake a graph?

Answer 7

No, I suggest to draw the best fit line as a dashed line through the data.

Answer 8

On the already made graph.

Answer 9

Yeah...I guess. The directions don't tell you to, but idk.

Answer 10

Thanks I guess, this makes no complete sense.

Answer 11

Lol, no problem. xp