MATH 227 STATISTICS FINAL EXAM - West Los Angeles College

For problems 95 through 97, consider the following MINITAB output for analysis of a
bivariate quantitative data set. Note here that the variable Hours is being used to predict
the variable Wear.
Regression Analysis
The regression equation is
Wear = 0.0028 + 0.00657 Hours
Predictor Coef Stdev t-ratio p
Hours 0.0065723 0.0001460 45.02 0.000
R-sq = 99.1%
95. For this analysis, the coefficient of determination is
a) .991 b) .995 c) .00657 d) .0028 e) none of these
96. For this bivariate data set, the approximate value of the correlation coefficient is
a) .991 b).995 c) .00657 d) -0.991 e) none of these
97. The output indicates that Hours is a useful linear predictor of Wear. (using a .05 level of
significance.)
a) true b) false c) can't tell with the output provided
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98. The types of discrete random variables discussed in class were:
a) binomial
b) geometric
c) poisson
d) all of the above
e) none of these
99. Which of the following is a measure of the variability of a distribution
a. Skewness b. Median c. Standard deviation d. z-score
100. A type I error is made by
a. rejecting Ho when it is true.
b. rejecting Ho when it is false
c. failing to reject Ho when it is true
d. failing to reject Ho when it is false
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