Solve all

G14.16 G14.16 (Graded) Sodium 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- bp.xIs) Demonstrate the relationship between sodium intake and systolic blood pressure with a scatterplot. Interpret. b) Can the observed relationship be easily explained by "chance"? Justify 6.6 your response. 6 8 Salt consumption (mg) 7.4 76 c) Determine the least squares INTERPRET: regression line for the data. What does the slope coefficient tell you b about the relationship between d) sodium and bp? d) What is the predicted bp for a person from this population that consumes 7.0 mg of sodium per day? Sat consumption vs. SBP for -10 renal failure patients with high blood pressure e) What is the value of the residual associated with the first observation? The observed value for the first observation is (7.0, 156). 8 f) Draw the regression line on the scatterplot, then show the residual 6.8 Sat consumption (mg) 7.4 associated with the first data point on the graph. . bp Fitted values G14.1 [ This is just provided as an extra G14.1 [This is just provided as an extra example] example] Bicycle helmet use. Table 14.5 lists data from a Use Stata to construct a scatterplot of p_rim and p_helm. Consider its a cross-sectional survey of bicycle safety. The form and direction. Identify outliers, if any explanatory variable is a measure of neighborhood socioeconomic status (p_rfm). Using Stata to construct the scatterplot: The response variable is "percent of bicycle . graph twoway scatter p_helm p_rim, xtitle (" receiving reduced or free schoo riders wearing a helmet" (p_helm). > 1 lunches") ytitle (" wearing helmet while biking") title ("Community socioec a) Use Stata to construct a scatterplot of > onomic status ($RFM) by helmet wearing prevalence ($) for p_rim and p_helm. Consider its form n=13 schools", siz > e (small) ) and direction. Identify outliers, if any. b) Calculate r for all 13 data points. Describe the strength of the 40 correlation. so wearing helmet while biking A good case can be made that observation 13 (Los Arboles) is an 20 outlier. Discuss what this means in plain terms