10 if you fit a linear model containing two parameters to tw

10. if you fit a linear model containing two parameters to two data points, it follows that

a. sse will = 0

b. the model provides an excellent description of the relationship between E(Y) and the independent variables

c. R^2 will be close to 1

d. R^2= 0

e. R^2 will equal SSR

11. in the calcuation of a confident interval for B1 in a linear regression model,

a. the standard normal curve is used

b. the normal distribution is used.

c. both the normal and t distribution are used

d. the f distribtuion is used

e. none of the above

12. if we reject H0 in a test where H0: B1=0 is the null hypothesis, the conclusion is made that

a. there is a relationship between X and Y and the relationship is linear

b. there is a nonlinear relationship between X and Y

c. the best relationship between X and Y is linear

d. X can\'t be used to predict Y

e. none of the above

Solution

10.

That will be a perfect fit, as 2 points define a line. Thus,

OPTION a. sse will = 0 [ANSWER, A]

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11.

OPTION c. both the normal and t distribution are used [ANSWER, C]

*************

12.

OPTION A: a. there is a relationship between X and Y and the relationship is linear.

10. if you fit a linear model containing two parameters to two data points, it follows that a. sse will = 0 b. the model provides an excellent description of th

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