Question

he 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

Answer 1

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

can someone please help me. i will give a medal and become a fan!

Answer 3

@whpalmer4 can you please help?

Answer 4

Perhaps. What have you done so far?

Answer 5

nothing really bc i don't know what a scatter plot is

Answer 6

Aren't you sitting at a computer with a working web browser?

Answer 7

I'm confident that your instructor didn't assign a problem without providing some instruction, whether lecture, video, text, class notes, direct brain implant, or whatever on how you might at least know what the problem is about, including what the terms mean...

but here's an article you can read describing what a scatter plot is https://en.wikipedia.org/wiki/Scatter_plot

Answer 8

k thx

Answer 9

that's not going to be enough information to do the problem, most likely. I know the Florida schools are generally awful (we didn't move there for just that reason), but aren't there some lectures you can watch again or a text you can read to see how to work this?

Answer 10

Here's what my scatter plot of those data points looks like:

Answer 11

It's just a graph with each point marked on it, no lines connecting them

Answer 12

yea i think so ill ask my teacher to email me the video that goes with the lesson

Answer 13

I didn't label the axes, but the x-axis is the time spent studying, and the y-axis is the resulting grade. If you sort of squint at it, you can see that spending more time studying seems to produce somewhat higher grades...

Answer 14

Here's the same graph with a line that approximately goes through the data:

Answer 15

The line has some equation which is your model. Part B of the question asks you to use that equation to find the predicted value for each point. For example, the first data point is studying 52 minutes and getting a 95 on the exam. You would plug 52 minutes into your model and see what it predicts the score would be. The residual in part C is the difference between your prediction and the actual value, I believe.

I don't feel comfortable trying to teach you how to do this because I always have a computer do it for me :-)

Answer 16

ok thx

Answer 17

did you ever full understand this? because i dont.