Hours Running (X) 15 Score on Happiness Survey (Y) 3 X = 19 SS, = 292 S 5.15 SPy = 260 Y = 9 %3D 14 SS, = 320 S, = 5.39 %3D 13 4 %3D 12 6. ху 16 18 20 7 24 8. 21 12 25 17 28 19 22 15 A. Graph the data. B. State the hypotheses. C. Make a decision about the null. a. Calculate Pearson's r i. Decision about null hypothesis? b. Calculate effect size i. Interpret effect size. D. State your conclusion. E. Relate your conclusion to the research. F. Calculate the regression formula. a. Plot the data and regression line. b. Predict a participant's happiness score if they ran 15 hours a week.

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Parts D E F F) a b Thank you
1. Twelve athletes were surveyed to determine how many hours a week they spend running. They were then
given survey measuring their happiness. Results are shown below. Use alpha = .05.
Hours Running
(X)
Score on Happiness Survey
(Y)
15
X = 19
SSx = 292
S 5.15
SPy= 260
Y = 9
14
5
SS, = 320
S, = 5.39
13
4.
12
16
7
18
5
20
24
21
12
25
17
28
19
22
15
A. Graph the data.
B. State the hypotheses.
C. Make a decision about the null.
a. Calculate Pearson's r
i. Decision about null hypothesis?
b. Calculate effect size
i. Interpret effect size.
D. State your conclusion.
E. Relate your conclusion to the research.
F. Calculate the regression formula.
a. Plot the data and regression line.
b. Predict a participant's happiness score if they ran 15 hours a week.
Transcribed Image Text:1. Twelve athletes were surveyed to determine how many hours a week they spend running. They were then given survey measuring their happiness. Results are shown below. Use alpha = .05. Hours Running (X) Score on Happiness Survey (Y) 15 X = 19 SSx = 292 S 5.15 SPy= 260 Y = 9 14 5 SS, = 320 S, = 5.39 13 4. 12 16 7 18 5 20 24 21 12 25 17 28 19 22 15 A. Graph the data. B. State the hypotheses. C. Make a decision about the null. a. Calculate Pearson's r i. Decision about null hypothesis? b. Calculate effect size i. Interpret effect size. D. State your conclusion. E. Relate your conclusion to the research. F. Calculate the regression formula. a. Plot the data and regression line. b. Predict a participant's happiness score if they ran 15 hours a week.
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