Methods 23. The data from exercise 1 follow. X3B 1 2 3 4 5 Yi 3 7 5 11 14 a. Compute the mean square error using equation (14.15). b. Compute the standard error of the estimate using equation (14.16). c. Compute the estimated standard deviation of b, using equation (14.18). d. Use the t test to test the following hypotheses (a = .05): Ho: B, = 0 HiB, #0 e. Use the F test to test the hypotheses in part (d) at a .05 level of significance. Present the results in the analysis of variance table format.

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**14.5 Testing for Significance**

**EXERCISES**

**Methods**

**23.** The data from exercise 1 follow.  

| \( x_i \) | 1 | 2 | 3 | 4 | 5 |
|-----------|---|---|---|---|---|
| \( y_i \) | 3 | 7 | 5 | 11 | 14 |

a. Compute the mean square error using equation (14.15).

b. Compute the standard error of the estimate using equation (14.16).

c. Compute the estimated standard deviation of \( b_1 \) using equation (14.18).

d. Use the \( t \) test to test the following hypotheses (\( \alpha = .05 \)):
   \[
   H_0: \beta_1 = 0
   \]
   \[
   H_a: \beta_1 \neq 0
   \]

e. Use the \( F \) test to test the hypotheses in part (d) at a .05 level of significance. Present the results in the analysis of variance table format.

**24.** The data from exercise 2 follow.

| \( x_i \) | 3 | 12 | 6 | 20 | 14 |
|-----------|---|----|---|----|----|
| \( y_i \) | 55| 40 | 65| 10 | 15 |

a. Compute the mean square error using equation (14.15).

b. Compute the standard error of the estimate using equation (14.16).

c. Compute the estimated standard deviation of \( b_1 \) using equation (14.18).

d. Use the \( t \) test to test the following hypotheses (\( \alpha = .05 \)):
   \[
   H_0: \beta_1 = 0
   \]
   \[
   H_a: \beta_1 \neq 0
   \]

e. Use the \( F \) test to test the hypotheses in part (d) at a .05 level of significance. Present the results in the analysis of variance table format.

**25.** The data from exercise 3 follow.

| \( x_i \) | 2 | 6 | 9 | 13 | 20 |
|-----------|---|---|---|----|
Transcribed Image Text:**14.5 Testing for Significance** **EXERCISES** **Methods** **23.** The data from exercise 1 follow. | \( x_i \) | 1 | 2 | 3 | 4 | 5 | |-----------|---|---|---|---|---| | \( y_i \) | 3 | 7 | 5 | 11 | 14 | a. Compute the mean square error using equation (14.15). b. Compute the standard error of the estimate using equation (14.16). c. Compute the estimated standard deviation of \( b_1 \) using equation (14.18). d. Use the \( t \) test to test the following hypotheses (\( \alpha = .05 \)): \[ H_0: \beta_1 = 0 \] \[ H_a: \beta_1 \neq 0 \] e. Use the \( F \) test to test the hypotheses in part (d) at a .05 level of significance. Present the results in the analysis of variance table format. **24.** The data from exercise 2 follow. | \( x_i \) | 3 | 12 | 6 | 20 | 14 | |-----------|---|----|---|----|----| | \( y_i \) | 55| 40 | 65| 10 | 15 | a. Compute the mean square error using equation (14.15). b. Compute the standard error of the estimate using equation (14.16). c. Compute the estimated standard deviation of \( b_1 \) using equation (14.18). d. Use the \( t \) test to test the following hypotheses (\( \alpha = .05 \)): \[ H_0: \beta_1 = 0 \] \[ H_a: \beta_1 \neq 0 \] e. Use the \( F \) test to test the hypotheses in part (d) at a .05 level of significance. Present the results in the analysis of variance table format. **25.** The data from exercise 3 follow. | \( x_i \) | 2 | 6 | 9 | 13 | 20 | |-----------|---|---|---|----|
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