Conduct a standard multiple regression to explore factors that impact on people's level of daytime sleepiness.

a. DV: Sleepiness & Associated Sensations Scale total score (totSAS)

b. Predictors: sex, age, physical fitness rating (fitrate) and scores on HADS Depression Scale (depress),HADS Anxiety Score (anxiety), and general health (health rate)

1. How much of the variance in total sleepiness scores is explained by the set of variables?
2. Is the model statistically significant? Provide the results and an explanation of the results.
3. What is the difference between the R² and adjusted R²? Give the results and an explanation of what the different values mean.
4. Which of the variables make a unique significant contribution?
5. Which is strongest and what is its contribution?

Correlations sleepy & assoc sensations physical HADS HADS general scale age fitness Depression Anxiety health sleepy & assoc Pearson Correlation -.141 -.267" 482 .508 -.189** sensations scale Sig. (2-tailed) .033 <.001 n age pearson correlation .141 .039 .004 sig. physical fitness .267 .241 hads depression ..004 .314 .320 anxiety .508 .297 general health .189 .003 .794 . is significant at the level regression variables entered model removed method enter sex a. dependent variable: sleepy assoc sensations scale b. all requested entered. summary adjusted r std. error of square estimate .586 .344 predictors: anxietyanova sum squares df mean f residual total coefficientsa standardized unstandardized coefficients b beta constant .290 .312 .045 .679 .498>