Question

Scatter plot, predicted scoring, and residuals? (I accidentally closed my last question.)

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

I've already plotted the information, but on part two I'm unsure. How do I find the predicted score for each time? Also, how do I find the residuals and decide if the model is a good fit?

Answer 3

My line of best fit is y = 09648x + 45.547. If I were to plug x (which are the times spent studying above) in, would that give me the prediction that I'm supposed to be getting?