Question: 3. Suppose we are formulating a 95% confidence interval for )1 using 16 observations. If f is equal to 38.3 and sis equal to 4.8,

3. Suppose we are formulating a 95% confidence interval for )1 using 16 observations. If f is equal to 38.3 and sis equal to 4.8, what will be the value for the upper limit of our confidence interval? A. Not greater than 39.85 B. Greater than 39.85 but not greater than 40.17 C. Greater than 40.17 but not greater than 40.54 D. Greater than 40.54 but not greater than 40.91 E. Greater than 40.91 4. We are predicting sales using multiple predictor variables X1 is TargPop, X2 is Displnc, and X3 (1 if in Region A, 0 otherwise) and X4 (1 if in Region B, 0 otherwise). We have the following output from our analysis: Coefficient Estimate Standard Error Prob > | t | 5.0307 3.200 0.00258 -0 124 0-90189 X3 X4 22917 0.545 -3 552 0.00094 37931 1.282 -2.959 0.00500 Suppose we have two locations, one (Location 112) in Region A, the other (Location 58) in Region C. Location 112's TargPop is equal to 93.2 and its Displnc is equal to 54.3. Location 58's TargPop is equal to 88.4 and its Displnc is equal to 44.7. As regards predicted sales, by how much would these locations differ? A. Not greater than 8 Greater than 8 but not greater than 11 B. C. Greater than 11 but not greater than 14 D. E. Greater than 14 but not greater than 17 Greater than 17 5. The following output is the result of a regression analysis with one predictor variable: Coefficient Estimate Standard Error Prob > | t | 21-0248 0-0085 Which of the following statements about this analysis is most appropriate? A. Our predictor variable appears to explain a significant amount of variation in our response variable. B. Because its p-value is low, our estimated intercept should not be used to make predictions regarding our response variable. C. It does not appear that our predictor variable is useful in accounting for variation in our response variable. D. In this situation, we would anticipate our regression mode's R2 being relatively large. 7. Suppose in a regression analysis the following was observed: x = 65.82 y = 124.6 SSxy = -252,158 SSxx = 59,823 What would the estimate for B1 be in this situation? (Round to 3 decimal places) A. -4.3257 B. -0.3221 C. 0.5283 D. 1.893 E. None of the above

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