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A researcher is interested if the number of pets people own (the x-variable) is related to their stress on a scale of 0-80 (the y-variable).
A researcher is interested if the number of pets people own (the x-variable) is related to their stress on a scale of 0-80 (the y-variable). Given these sample data points:
xn | yn | |
n1 | 2 | 60 |
n2 | 1 | 50 |
n3 | 3 | 40 |
n4 | 4 | 70 |
n5 | 4 | 50 |
Calculate and show all your work:
- covxy(the covariance ofxand y)
- sx(the standard deviation ofx)
- sy(the standard deviation ofy)
- rxy(the correlation ofxand y
2. For the same data-set:
- Calculate the regression prediction equation ( = bx + a).
- Provide an interpretation for the slope (b) and the y-intercept (a).
- If someone has three pets (x = 3), what would you predict their stress to be (the y-variable)?
- If someone has eight pets (x = 8), what would you predict their stress to be (the y-variable)? Why might calculating this be a problem?
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