Examine the scatterplot for the data in the table below. 2 14 4 18 6 19 9 33 10 24 12 25 13 26 14 27 16 29 19 39 40 35 30 25 20 15 10 5 10 15 24 -5 There seems to be an outlier. Enter as a point: a. (r, y) To determine if this is truly an outlier, we first need to find the standard error of the estimate, S.. Find the regression equation, round the slope and y-intercept to 2 decimals, and then use that equation to find the standard error. Round this answer to one decimal. b. Se =

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Examine the scatterplot for the data in the table below.
2
14
4
18
19
9 33
10 24
12 25
13 26
14
27
16 29
19| 39
40+
35
30
25
20
15
10
5
+
-5
-5+
10
15
20
There seems to be an outlier. Enter as a point:
a. (x, y) =
To determine if this is truly an outlier, we first need to find the standard error of the estimate, Se.
Find the regression equation, round the slope and y-intercept to 2 decimals, and then use that equation to
find the standard error. Round this answer to one decimal.
b. Se =
6.
Transcribed Image Text:Examine the scatterplot for the data in the table below. 2 14 4 18 19 9 33 10 24 12 25 13 26 14 27 16 29 19| 39 40+ 35 30 25 20 15 10 5 + -5 -5+ 10 15 20 There seems to be an outlier. Enter as a point: a. (x, y) = To determine if this is truly an outlier, we first need to find the standard error of the estimate, Se. Find the regression equation, round the slope and y-intercept to 2 decimals, and then use that equation to find the standard error. Round this answer to one decimal. b. Se = 6.
What y-value is the cutoff beyond which the point (9, 33) would be considered an outlier?
c. The cutoff is y =
d. Is the point (9, 33) an outlier?
Yes
O No
Transcribed Image Text:What y-value is the cutoff beyond which the point (9, 33) would be considered an outlier? c. The cutoff is y = d. Is the point (9, 33) an outlier? Yes O No
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