Help on a pretty long Question?
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.)
Hints: Start with a scatter plot. Either draw the best-fit line by hand on the plot, or if you have a TI-83, use technology to calculate the best line. Calculate the residuals by hand or using the TI. Residuals are the differences between the fitted line and the actual data. |dw:1406306811807:dw|
Ok Thanks c:
You're welcome! :)
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