Question
Suppose a researcher wants to evaluate the effect of cholesterol on the blood pressure. The following data on serum cholesterol (in mg/dL) and systolic blood pressure (in mm/Hg) were obtained for 15 patients to explore the relationship between cholesterol and blood pressure:
| S. No. | Cholesterol (mg/dL) | SBP (mm/Hg) | ||||
| 1 | 300 | 150 | ||||
| 2 | 410 | 270 | ||||
| 3 | 380 | 210 | ||||
| 4 | 530 | 310 | ||||
| 5 | 570 | 350 | ||||
| 6 | 490 | 310 | ||||
| 7 | 340 | 210 | ||||
| 8 | 320 | 150 | ||||
| 9 | 280 | 110 | ||||
| 10 | 550 | 320 | ||||
| 11 | 340 | 220 | ||||
| 12 | 350 | 170 | ||||
| 13 | 410 | 260 | ||||
| 14 | 390 | 230 | ||||
| 15 | 450 | 270 | ||||
(i) Fit a linear regression model using the method of least squares.
(ii) Construct the normal probability plot for the data on serum cholesterol and systolic blood pressure. (iii) Test the significance of the fitted regression model.
Answer :
Word Count : 115
Here are the results of the numerical analysis: ### (i) Fitting a Linear Regression Model: The estimated regression equation is: \[ \text{SBP} = -62.91 + 0.7338 \times \text{Cholesterol} _______ ____ _______ ___ _______ ______.
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Here are the results of the numerical analysis: ### (i) Fitting a Linear Regression Model: The estimated regression equation is: \[ \text{SBP} = -62.91 + 0.7338 \times \text{Cholesterol} _______ ____ _______ ___ _______ ______.
_________ _______ ___ ____ ________.
_____ ____ ________ ______ __________ ___ ______.
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___ _______ ______ _____.
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