An exercise advocate wants to determine the effect that walking rigorously has on weight loss. The researcher recruits participants to engage in a weeklong study. The researcher instructs participants to take a brisk walk as many days of the week as possible for as long as they can. Participants will record the following data: weight prior to engaging in the walking regimen, the amount of time walked each day, and their weight at the end of the week. Participants will submit their data to the researcher at the end of the week. The researcher will preprocess the data to derive the total number of hours walked (walkhrs) and the change in weight for each participant (wtloss = weight at the end of the week − weight at the beginning of the week).

Data set: Ch 08 – Exercise 01A.sav Codebook Variable: walkhrs Definition: Total hours walked in a week Type: Continuous Variable: wtloss Definition: Total weight loss in a week Type: Continuous

NOTE: In Data Set A, record 3, notice that the weight loss (wtloss) is −1.00; this indicates that the participant gained 1 pound. Data Set B, record 16, also signifies a half-pound weight gain (wtloss = −0.50) for that participant.

1. Write the hypotheses.

2. Run the criteria of the pretest checklist (normality [for both variables], linearity, homoscedasticity) and discuss your findings.

3. Run the bivariate correlation, scatterplot with regression line, and descriptive statistics for both variables and document your findings (r and Sig. [p value], ns, means, standard deviations) and hypothesis resolution.

4. Write an abstract up to 200 words detailing a summary of the study, the bivariate correlation, hypothesis resolution, and implications of your findings.