hw8 and task 2
Dataset
| DATASET of Systolic Blood Pressure and weight measurements for 23 individuals | ||||
| Lecture #7 homework | ||||
| Subject # | Body Weight | Systolic BP | ||
| (kg) | (mmHg) | Create your scatter plot somewhere here | ||
| 1 | 74.4 | 109 | ||
| 2 | 85.1 | 114 | ||
| 3 | 78.3 | 94 | ||
| 4 | 77.2 | 109 | ||
| 5 | 63.8 | 104 | ||
| 6 | 60.9 | 98 | ||
| 7 | 82.2 | 116 | ||
| 8 | 99.8 | 121 | ||
| 9 | 78.0 | 111 | ||
| 10 | 71.8 | 116 | ||
| 11 | 90.2 | 115 | ||
| 12 | 105.4 | 133 | ||
| 13 | 100.4 | 128 | ||
| 14 | 80.9 | 128 | ||
| 15 | 81.8 | 105 | ||
| 16 | 109.0 | 127 | ||
| 17 | 90 | 120 | ||
| 18 | 69 | 110 | ||
| 19 | 96 | 136 | ||
| 20 | 67 | 118 | ||
| 21 | 99 | 132 | ||
| 22 | 74 | 111 | ||
| 23 | 73 | 112 |
Conclusions from scatter plot: (you can move this textbox by clicking on it)
Step 5- Excel or Minitab Output
Step 6 - Parameter Template
| Please enter the results from your regression analysis into this sheet. |
| Please write your conclusions in the text boxes provided. |
| R square |
| R |
| Standard Error of Residuals |
| p value of residuals (regression analysis) |
| Slope |
| upper bound of confidence interval |
| lower bound of confidence interval |
| Confidence interval of slope (range: from to) |
| Y intercept |
| (no confidence interval needed) |
| Equation of the regression line |
| (format: y=bx+a) |
| Increase of blood pressure in mmHg per kg of body weight |
| Confidence interval of the increase (from to) |
Step 7 Fitted Line Plot
Step 8 -Residuals analysis
| Copy the Residuals vs Fits Plot and the Normality Probability Plot here (no other plots please) |
| Write your conclusions from these plots in the textbox provided) |
Conclusions about normality of residuals:
Step 9 - Conclusions
OVERALL CONCLUSIONS FROM REGRESSION ANALYSIS