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AP Stats Chapter 3 Review

AP Stats Chapter 3 Review. Question 1: What is a scatter plot of the regression residuals against the explanatory variable? . Scatter Plot. Residual Plot. Stem and Leaf Plot. Nope, you must have been putting signs on people’s backs instead of paying attention. Go back to Q1 Noob .

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AP Stats Chapter 3 Review

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  1. AP StatsChapter 3 Review

  2. Question 1: What is a scatter plot of the regression residuals against the explanatory variable? Scatter Plot Residual Plot Stem and Leaf Plot

  3. Nope, you must have been putting signs on people’s backs instead of paying attention. Go back to Q1 Noob.

  4. NO, Nyshad must’ve answered this one… Go back to Q1

  5. OH YEAH! The scatter plot of the regression residuals against the explanatory variable is a Residual Plot. Go to Q2

  6. Question 2: Which is present in this graph… Positive Association Negative Association No Association

  7. No way jose. Go back to Q2.

  8. No Go back to Q2 Miguel

  9. BYAHHH! Positive Association is present in this graph. The definition of positive association is when above-average values of one tend to accompany above-average values of the other and below –average values also tend to occur together. Go to Q3

  10. Question 3: Which of the following attempts to explain the observed outcome? Response Variable Repository Variable Explanatory Variable

  11. Wrong! Go back to Q3

  12. Correct! The explanatory variable attempts to explain the observed outcome. Go to Q4

  13. Question 4: Which of the following resembles a scatter plot? 1 2 3

  14. That is a sine curve sigh… Go back to Q4

  15. No Tran maybe next time you shouldn’t be sleeping. Go back to Q4 lefty

  16. You are correct! This is a scatter plot. A scatter plot shows the relationship between two quantitative variables measured on the same individuals. Go to Q5

  17. Q5:What are individual points that substantially change the regression line? Influential Observation Correlation Coefficient Mean

  18. Correct you are, Influential Observations are points that can substantially change the regression line. Go to Q6

  19. Sorry try again later Back to 5

  20. You are NOT Correct Back to Q5

  21. Q6: What is it called whenabove-average values of one variable tend to accompany below-average values of the other, and vice versa. Uneven Variables Negative Associated Variables Lurking variables

  22. You got lucky this time, the negative association is when above-average values of one variable tend to accompany below-average values of the other, and vice versa. Go to Q7

  23. Do you even pay attention in class? Go to jail, do not pass go, do not collect 200 dollars, go back to question 6

  24. Maybe you should actually try reading the chapter like Mrs. Nienhaus tells you to. Goin back

  25. Q7: The formula for residual is: Not that useful Ŷ-y y-ŷ

  26. Do you want to fail? Back to Q7

  27. Correct! The equation is the difference between observed and predicted. Go to Q8

  28. Q8: What is the line that makes the sum of the squares of the vertical distances of the data points from the line as small as possible? Normal Distribution Curve A straight line Least square-regression line

  29. No Good Go to back to Q8

  30. Great Job! The line that makes the sum of the squares of the vertical distances of the data points from the line as small as possible is the LSRL Go to Q9

  31. Q9: A quantity that gives the quality of a least squares fitting to the original data is? Correlation Coefficient LSRL Coefficient Super Coefficient

  32. Try again. I know you can do it Go to back to Q9

  33. Good Job! You are right! A quantity that gives the quality of a least squares fitting to the original data is the Correlation Coefficient. Go to Q10

  34. Q10: Which of the following determines how close the points in the scatter plot lie to a simple form such as a line. Strength Form Spread

  35. YES! The strength of a relationship is determined by how close the points in the scatter plot lie to a simple form such as a line. End!

  36. TskTsk. Go back to Q10

  37. DOH! Go back to Q10

  38. Thank you for reviewing Chapter 3 vocabulary! Jim Olsen, Ryan Geil, Sam Rahman

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