Suppose a sample size of 5 has mean 9.60 . If the population variance is 5 and the population is normally distributed, the lower limit for a 92 confidence interval is 7.85.
Indicate whether the statement is true or false
Q. 2In a multiple regression model, the mean of the probability distribution of the error variable is assumed to be:
a. k, where k is the number of independent variables included in the model.
b. 1.0
c. 0.0
d. None of these choices.
Q. 3Given a mean of 2.1 and a standard deviation of 0.7, a 90 confidence interval will be 2.1 0.7.
Indicate whether the statement is true or false
Q. 4In a multiple regression analysis, if the model provides a poor fit, this indicates that:
a. the coefficient of determination will be close to zero.
b. the standard error of estimate will be large.
c. the sum of squares for error will be large.
d. All of these choices are true.
Q. 5In this chapter you need four values to construct the confidence interval estimate of . They are the sample mean, the sample size, the population standard deviation, and the confidence level.
Indicate whether the statement is true or false
Q. 6The adjusted coefficient of determination is adjusted for the:
a. number of independent variables and the sample size.
b. number of dependent variables and the sample size.
c. coefficient of correlation and the significance level.
d. number of regression parameters including the y-intercept.
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