Please answer exercise 1 questions 1 to 8. For question 5c and question 6 (1 to 3 ). Once you get the answer explains what it means. Please show your work for all of the questions so I could understand. Thank you.

Module 3 Assignment - Correlation Tests (8 points) In this assignment, you will learn to enter data in SPSS and to conduct simple correlational statistical analyses. You will need to use the knowledge and skills learned from prior modules to complete this assignment. Problem #1. An health researcher wants to know how Body-mass index (BMI) correlates with sleep. She collected the data on these two variables (BMI and average hours of sleep per night) from 25 adult females. Enter that data below into SPSS naming the variables 'Sleep' and 'GPA'. Make sure to dene them as numeric and continuous (scale) variables. (4 points) BMI Hours of sleep 17 7.5 17.4 8 18.2 8.5 18.5 8 18.7 8 18.9 8.5 19.4 7.5 h 19.8 7.5 20 8 20.1 8 20.6 8.5 20.8 8 21 7.5 21.2 7.5 21.4 7 21.7 8 22.5 6.5 23 7.5 23.6 8 25.7 6.5 26.7 6.5 28.8 7 29 7.5 32.3 6.5 36.7 6 Correlations Descriptive Statistics Std. Mean Deviation N Average body-mass 22.5200 4.86612 25 index from adult females Average hours of sleep 7.5200 .69940 25 per night from adult females Correlations Average Avi hours of body mass sleep per index from night from adult adult emales females Average body-mass Pearson Correlation -.741" index from adult females Sig. (2-tailed) 000 N 25 25 Average hours of sleep Pearson Correlation .741"* 1 per night from adult females Sig. (2-tailed) 000 25 25 *. Correlation is significant at the 0.01 level (2-tailed). Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent Average body-mass 25 100.0% 0 0.0% 25 100.0% index from adult females Average hours of sleep 25 100.0% 0 0.0% 25 100.0% per night from adult femalesDescriptives Statistic Std. Error Average body-mass Mean 22.5200 .97322 index from adult females 95% Confidence Interval Lower Bound 20.5114 for Mean Upper Bound 24.5286 5% Trimmed Mean 22.0833 Median 1.0000 Variance 23.679 Std. Deviation 4.86612 Minimum 17.00 Maximum 36.70 Rang 19.70 Interquartile Range 5.50 Skewness 1.478 464 Kurtosis 1.947 .902 Average hours of sleep Mean 7.5200 .13988 per night from adult females 95% Confidence Interval Lower Bound 7.2313 for Mean Upper Bound 7.8087 5% Trimmed Mean 7.5444 Median 7.5000 Variance 489 Std. Deviation 69940 Minimum 6.00 Maximum 8.50 Range 2.50 Interquartile Range 1.00 Skewness -.573 .464 Kurtosis -.506 902 Tests of Normality Kolmogorov-Smirnov Shapiro-Wilk Statistic df Sig Statistic df Sig Average body-mass 207 25 007 854 25 .002 index from adult females Average hours of sleep .209 25 006 905 25 .023 per night from adult females a. Lilliefors Significance Correction Normal Q-Q Plot of Average body-mass index from adult females Expected Normal 15 20 25 30 35 40 Observed ValueDetrended Normal Q-Q Plot of Average body-mass index from adult females 1.5 1.0 Dev from Normal 0.5 0. ...... .. .. 15 20 25 30 35 40 Observed Value Normal Q-Q Plot of Average hours of sleep per night from adult females N o Expected Normal -2 Observed Value Detrended Normal Q-Q Plot of Average hours of sleep per night from adult females 0.2 .000 Dev from Normal 0.2 6.0 6.5 7.5 8.0 Observed ValueScatter Plot of Average hours of sleep per night from adult females by Average body-mass index from adult females R2 Linear = 0.549 8.50 8.00 7.50 females Average hours of sleep per night from adult V-9.92-0.11"x 7.00 6.00 15.00 20.00 25.00 30.00 35.00 40.00 Average body-mass index from adult females Exercise 1 Research Question: How does sleep correlate with BMI in otherwise healthy adult female? In other words, how well can we predict BMI using sleep in otherwise healthy adult female? (i.e., Is there a statistically significant relationship between BMI and sleep in adult female?) 1. Null hypothesis: 2. Research/Alternative hypothesis: 3. Variable 1 and level of measurement: Variable 2 and level of measurement: 4. Statistical analysis used: Pearson 5. Key statistics and interpretation. a. Correlation coefficient: b. Statistical significance: c. Coefficient of determination/Effect size/Shared Variance ( once you get the answer explain what it means): 6. Assumptions. 1. Significant outliers: 2. Linearity: 3. Normality: 7. Reject or Fail to Reject the Null: 8. Interpretation/Conclusion: 5