EXSC 520
CASE S 1 – CTUDY ORRELATION AND IVARIATE EGRESSION EMPLATE B R T
Instructions: To successfully complete this case study, all of the following instructions must be
adhered to. Only paste tables/figures that contain pertinent information. Only paste tables/
figures where you are instructed to do so. Highlight (in yellow) only relevant data from tables; as
well as your response to each question. In the write-up section, all information must be provided
in paragraph format. When statistical values are discussed, the numerical value must be given
and a reference must be made to the table(s)/figure(s) where the value(s) can be found. An
example of this is “heart rate was statistically greater during running versus cycling (189 vs. 143
bpm) as indicated in Table 1.”
I. Correlation
Research question: “ ”Is mean heart rate during exercise correlated to body weight?
Assumptions Testing
1. Data level of measurement – what is the level of measurement for the data used in this case
study? __Ratio____________________________________________________________
2. Would the amount of skewness and kurtosis in these variables affect the analysis? How do
you know? Give numerical values to support your conclusion.
For HR no. Skewness = .015/.661 = .0227, kurtosis = .639/1.279 = -0.499
For BW yes. Skewness = 1.987/.661 = 3.006, kurtosis = 3.797/1.279 = 2.9687
Paste table below:
Descriptives
Statistic
Std.
Error
Mean_heart_rate_
BPM
Mean 132.27 4.811
95% Confidence
Interval for Mean
Lower
