The association between the variables "chance of health problems" and "weekly cigarette consumption" would typically be
a. Positive
b. Negative
c. Neither
If the correlation coefficient for a linear regression is 1.00. there is solid proof that a true cause-effect relationship exists between the x and y data
a. True
b. False
If the correlation coefficient for a lnear regression is -0.932. there is sufficient evidence that a linear relationship exists between the x and y data
a. True
b. False
If the correlation coefficient for a lnear regression is 0.987. there is sufficient evidence that a linear relationship exists between the x and y data
a. True
b. False
Linear regression models may not always acccurately reflect the pattern of data from which they are made
a. True
b. False
Two data points found on a line are (1, 4) and (3, 9). Determine the slope of the line.
a. -0.4
b. 0.4
c. 2.5
d. -2.5
1)
a. Positive (since increasing consumption of cigrttes will increase health problems)
2)
b. False (correlation does not indicate causation)
3)
b. False (require sample size and level of significance to conclude that)
4)
b. False (require sample size and level of significance to conclude that)
5)
a. True
6)
slope =(9-4)/(3-1) =2.5
The association between the variables "chance of health problems" and "weekly cigarette consumption" would typically be...
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