10. Delete your line of fit by clicking the "X" to the right of it (see pic to the right). 12. Enter this in a new row under the "Age Guessing Table." (see pic), and you should see a new line appear on your scatter plot. ~ 11. Someone who is perfect at guessing ages and guessed every celebrity exactly correct would create the perfectly straight line y = X. Why? Think about what y & x represent in terms of actual ages and guessed ages. ~ y=d --OPMAY
10. Delete your line of fit by clicking the "X" to the right of it (see pic to the right). 12. Enter this in a new row under the "Age Guessing Table." (see pic), and you should see a new line appear on your scatter plot. ~ 11. Someone who is perfect at guessing ages and guessed every celebrity exactly correct would create the perfectly straight line y = X. Why? Think about what y & x represent in terms of actual ages and guessed ages. ~ y=d --OPMAY
10. Delete your line of fit by clicking the "X" to the right of it (see pic to the right). 12. Enter this in a new row under the "Age Guessing Table." (see pic), and you should see a new line appear on your scatter plot. ~ 11. Someone who is perfect at guessing ages and guessed every celebrity exactly correct would create the perfectly straight line y = X. Why? Think about what y & x represent in terms of actual ages and guessed ages. ~ y=d --OPMAY
Hello I'm reposting my sub parts on scatterplots hopefully this information may help you solve the last questions which are questions
10-14 (finished the first couple )
Here are the ordered pairs to help answer the questions
Actual Ages Guesses
69 60
41 23
47 38
59 30
43 37
42 47
42 30
38 30
76 80
33 30
68 50
85 87
36 31
61 45
53 47
38 31
34 58
50 44
61 45
53 47
38 31
34 58
50 44
45 35
4. Positive correlation
5. R is close to 0.5
6. Use Desmos to calculate the numbers into a scatter plot
7. Answered
8. Answered
9. Answered
10-14 blank. Review images below to view the blank questions and the answered ones to better guide your understanding ! Thank you
Definition Definition Relationship between two independent variables. A correlation tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
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