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G14.15 G14.15 Gorilla ebola. An ebola virus outbreak in a ) Onset is the dependent (/outcome/y )variable and distance is the gorillas in the Congo from 2002 to 2003 killed independent (/predictor/x) variable because 91 gorillas in 7 ranges. This table lists onset date relative to the outbreak (onset) and the b) Scatterplot from Stata: number of home ranges separating the gorilla band from the initially infected band (distance: The scatterplot reveals a fairly strong positive linear relationship between days Distance Onset since initial outbreak and distance from initial outbreak (although, as always, 1 4 shape can be difficult to assess with sample sizes this small). 3 21 c) 4 33 d) The percent of variation in onset that is explained by distance is given by 4 r^2=92.6%--a very high amount 41 4 43 5 46 a) Which variable in this analysis is independent? Which is dependent? b) Create a scatterplot of the data .Interpret. c) Calculate the correlation coefficient r and describe the strength of the association. d) What percent of the variation in onset is explained by distance?. e) Use a regression model to predictSodium and SBP. Data from 10 individuals in a) Using Stata to construct the scatterplot: renal failure with high blood pressure are graph twoway scatter bp sodium, xtitle ("Salt consumption shown in the following table. The variable (mg) ") ytitle ("Systo sodium represents salt consumption (mg) and > lic blood pressure (mmHg) ") title ("Salt consumption vs. SBP for n=10 renal fa the variable bp represents systolic blood > ilure patients with high blood pressure", size (small) ) pressure (mmHg). (Data found in sodium- Salt consumption vs. SBP for n=10 renal failure patients with high blood pressure 200 bp.xls) 190 a) Demonstrate the relationship between sodium intake and systolic 180 blood pressure with a scatterplot. Systolic blood pressure (mmHg) Interpret. b) Can the observed relationship be easily explained by "chance"? Justify 6.6 6.8 7.2 74 7.6 your response. Salt consumption (mg) INTERPRET: c) Determine the least squares regression line for the data. What does the slope coefficient tell you b) C) about the relationship between sodium and bp? d) What is the predicted bp for a person from this population that consumes 7.0 mg of sodium per day? Salt consumption vs. SBP for n=10 renal failure patients with high blood pressure 190 e) What is the value of the residual 180 associated with the first observation? stolic blood pressure (mmHg) The observed value for the first 170 observation is (7.0, 156). 8