Below you are given a partial Excel output based on a sample of 16 observations.

Refer to Exhibit 156. The estimated regression equation is

Refer to Exhibit 156. The interpretation of the coefficient or x ₁ is that

Refer to Exhibit 156. We want to test whether the parameter \({{\beta }_{1}}\)is significant. The test statistic equals

Refer to Exhibit 156. The t value obtained from the table which is used to test an individual parameter at the 1% level is

Refer to Exhibit 156. Carry out the test of significance for the parameter p _i at the 1% level. The null hypothesis should be

Refer to Exhibit 156. The degrees of freedom for the sum of squares explained by the regression (SSR) are

Refer to Exhibit 156. The sum of squares due to error (SSE) equals

Refer to Exhibit 156. The test statistic used to determine if there is a relationship among the variables equals

Refer to Exhibit 156. The F value obtained from the table used to test if there is a relationship among the variables at the 5% level equals

Refer to Exhibit 156. Carry out the test to determine if there is a relationship among the variables at the 5% level. The null hypothesis should

Exhibit 141

A regression analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x).

1. Refer to Exhibit 14-1. The least squares estimate of b ₁ equals
2. Refer to Exhibit 141. The least squares estimate of bo equals
3. Refer to Exhibit 141. The point estimate of y when x = 20 is
4. Refer to Exhibit 141. The sample correlation coefficient equals
5. Refer to Exhibit 141. The coefficient of determination equals

Exhibit 96

A random sample of 100 people was taken. Eighty of the people in the sample favored Candidate A. We are interested in determining whether or not the proportion of the population in favor of Candidate A is significantly more than 75%.

1. Refer to Exhibit 96. The test statistic is
2. Refer to Exhibit 96. The p-value is
3. Refer to Exhibit 96. At a .05 level of significance, it can be concluded that the proportion of the population in favor of candidate A is

Assume population is normally distributed.

1. Refer to Exhibit 95. The test statistic equals
2. Refer to Exhibit 95. The p-value is equal to
3. Refer to Exhibit 95. If the test is done at a 2% level of significance, the null hypothesis should

Exhibit 92

The manager of a grocery store has taken a random sample of 100 customers. The average length of time it took the customers in the sample to check out was 3.1 minutes. The population standard deviation is known to be 0.5 minutes. We want to test to determine whether or not the mean waiting time of all customers is significantly more than 3 minutes.

1. Refer to Exhibit 92. The test statistic is
2. Refer to Exhibit 92. The p-value is

Exhibit 83

A random sample of 81 automobiles traveling on a section of an interstate showed an average speed of 60 mph. The distribution of speeds of all cars on this section of highway is normally distributed, with a standard deviation of 13.5 mph.

1. Refer to Exhibit 83. If we are interested in determining an interval estimate for \(\mu \) at 86.9% confidence, the z value to use is
2. Refer to Exhibit 83. The value to use for the standard error of the mean is
3. Refer to Exhibit 83. The 86.9% confidence interval for \(\mu \) is
4. Refer to Exhibit 83. If the sample size was 25 (other factors remain unchanged), the interval for \(\mu \) would be

Exhibit 75

Random samples of size 17 are taken from a population that has 200 elements, a mean of 36, and a standard deviation of 8.

63. Refer to Exhibit 75. The mean and the standard deviation of the sampling distribution of the sample means are

64. Refer to Exhibit 75. Which of the following best describes the form of the sampling distribution of the sample mean for this situation?

Exhibit 73

The following information was collected from a simple random sample of a population.

16 19 18 17 20 18

30. Refer to Exhibit 73. The point estimate of the mean of the population is

31. Refer to Exhibit 73. The point estimate of the population standard deviation is

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