1. We use independent variables to predict the value of multiple dependent variables when conducting a _____.
2. Two-sample hypothesis test
3. One-factor ANOVA
4. Bivariate regression
5. Multivariate regression
6. All of the above
7. None of the above

QUESTION 2

1. We compare two sample variances to determine whether the difference between them is probably not due to random sampling error when we perform a ______.
2. Multivariate regression
3. One-factor ANOVA
4. Two-Factor ANOVA
5. Two-sample hypothesis test
6. All of the above
7. None of the above

QUESTION 3

1. The sample correlation coefficient (r) ______.
2. Is not unit dependent
3. Is essentially a standardized version of covariance
4. Ranges from -1.00 through 1.00
5. Indicates both the strength and direction of the relationship between X and Y
6. All of the above
7. None of the above

QUESTION 4

1. If ap-value of .03 indicates that the estimate is probably larger than the product specification, we know that a _____ was performed.
2. One-factor ANOVA
3. One-sample hypothesis test
4. Two-factor ANOVA
5. Two-sample hypothesis test
6. All of the above
7. None of the above

QUESTION 5

1. We try to keep our multivariate regression models lean in an effort to ______.
2. Keep variance inflation to a minimum
3. Make calculations easier
4. Increase R Square
5. Increase SSR/SST
6. All of the above
7. None of the above

QUESTION 6

1. One-factor ANOVA is used to compare ______.
2. Multiple proportions
3. Multiple variances
4. Multiple means
5. Multiple standard deviations
6. All of the above

QUESTION 7

1. In hypothesis testing, ANOVA, and regression, alpha is ______.
2. The probability that we will commit type 1 error
3. The probability that we will commit type 2 error
4. The probability of committing type 1 error that we are willing to accept
5. The probability that the estimate is probably not different
6. All of the above
7. None of the above

QUESTION 8

1. In hypothesis testing, ANOVA, and regression, thep-value is _____.
2. The probability that: the difference between the estimate and the benchmark or the difference between the estimates is not due to random sampling error; there is at least one estimate that is different from the others; there is at least one predictor coefficient that is not zero, and a specific predictor coefficient is not zero
3. The probability that: the difference between the estimate and the benchmark or the difference between the estimates is due to random sampling error; there are differences between the estimates; there are no predictor coefficients that are not zero, and a specific predictor coefficient is not zero
4. Is always smaller than alpha
5. Is used in calculating R Square
6. All of the above
7. None of the above

QUESTION 9

1. To determine whether one of two new sales approaches resulted in a higher completed-sale rate, we would use a ______.
2. One-sample hypothesis test of means
3. Two-sample hypothesis test of means
4. Two-sample hypothesis test of proportions
5. One-factor ANOVA
6. All of the above
7. None of the above

QUESTION 10

1. To determine whether one of three new sales approaches resulted in higher average sales, we would use a ______.
2. One-sample hypothesis test of means
3. Two-sample hypothesis test of means
4. Two-sample hypothesis test of proportions
5. One-factor ANOVA
6. All of the above
7. None of the above