Styles Voice Sensitivity Edi BMATH215 Name Research Question: How does exercise correlate with BMI in otherwise healthy adult female? In other words, how well can we predict BMI using exercise in healthy adult female? (i.e., Is there a statistically significant relationship between BMI and exercise in adult female?) 1.1 (1pt) Null hypothesis: Research/Alternative hypothesis: Variable 1 and level of measurement: Variable 2 and level of measurement: Statistical analysis used: 1.2 (1pt) Key statistics and interpretation: 1. Correlation coefficient: 2. Statistical significanc 3. Coefficient of determination/Effect size/Shared Variance: 1.3 (1pt) Do assumptions hold and why? 1. Significant outliers: 2. Linearity: 3. Normality: 1.4 (0.2pt) Reject or Fail to Reject the Null and reason: 1.5 (0.5pt) Interpretation/Conclusion (on correlation, significance, effect size, assumptions and what each of them tell you): 1.6 (0.3pt) Insert your SPSS Correlation Table, Scatterplot and Normality Table for problem 1 here.ndo Clipboard Font Paragraph BMATH215 Name Problem 2. (4 pts) Two sportswriters ranked 10 pro football teams for best team between 2010-2015. The teams and rankings by the two writers respectively are as follows. Enter this data into SPSS, name the variables "Writers 1 ranking" and "Writers2ranking", set them as numeric and ordinal variables. Teams Writer 1 rank Writer2rank 1 49ers 2 Broncos 3 W N 3 Cowboys 1 4 Packers 4 2 5 Raiders 5 7 6 Colts 6 5 7 Dolphins 10 8 Titans 6 9 Jaguars 9 8 10 Bills 10 9 Research Question: How much do these two sportswriters agree with each other when it comes these 10 football teams? In other words, how consistent or inconsistent are these rankings with each other? (Is there a statistically significant relationship between the two writers' rankings of the football teams?) 2.1 (1pt) Null hypothesis: Research/Alternative hypothesis: Variable 1/ Level of measurement: Variable 2/ Level of measurement: Statistical analysis used: (Use non-parametric correlation test - No assumptions need to be checked.) 2.2 (1pt) Key statistics and interpretation: Correlation coefficient: Statistical significance Effect size/Shared Variance:BMATH215 Name 2.3 (0.8pt) Reject or Fail to Reject the Null and reason: 2.4 (0.5 pt) Interpretation/Conclusion (on correlation, significance, effect size and what each of them tell you): 2.5 (0.5pt) Manually calculate Spearman's rank-order correlation coefficient r. Round your answer to 4 decimal places. Show your work. Do not use SPSS to solve this problem. No points will be given without correct work even if the final answer is correct. Use the built in Equation Editor in Microsoft Word to input your math work. [ D2 - = (work here) 2.6 (0.2pt) Insert your SPSS Correlation Table for problem 2 here