In: Statistics and Probability
The assumptions we use to determine the validity of predictions include:
For every specific value of y, the value of x must be normally distributed about the regression line.
The sample was collected carefully
The standard deviation of each dependent variable must be the same for each independent variable
All of the above
Because some people are unable to stand to have their height measured, doctors use the height from the floor to the knee to approximate their patients’ height (in cm).
Height of Knee |
Overall Height |
57 |
192 |
47 |
153 |
43 |
146 |
44 |
160 |
55 |
171 |
54 |
176 |
a. Use Excel to determine the correlation coefficient of this data
b. Use Excel to determine the regression equation of this data
c. Find the overall height from a knee height of 45.3 cm
d. Find the overall height from a knee height of 52.7 cm
Choose one • 20 points
a. r = 0.73220213
b. Equation: y = 2.0217x + 67.746
c. 159.32901
d. 174.28959
a. r = 0.82544241
b. Equation: y = 2.5109x + 40.79
c. 154.53377
d. 173.11443
a. r = 0.53611996
b. Equation: y = 2.0217x + 67.746
c. 159.32901
d. 174.28959
a. r = 0.908553861
b. Equation: y = 2.5109x + 40.79
c. 154.53377
d. 173.11443
Interpretation:
The correlation coefficient of the Height of Knee (X) and Overall height (Y) is . The correlation coefficient indicates that there exists a strong positive linear relationship between the two quantitative variables Height of Knee (X) and Overall height (Y).
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