Question

Asked Apr 30, 2019

The data from exercise 3 follow.

x_{i} |
2 | 6 | 9 | 13 | 20 |

y_{i} |
7 | 18 | 9 | 26 | 23 |

The estimated regression equation is = 7.6 + .9*x*.

- What is the value of the standard error of the estimate (to 4 decimals)?

- What is the value of the
*t*test statistic (to 2 decimals)?

What is the*p*-value? Use Table 1 of Appendix B.

Selectless than .01between .01 and .02between .02 and .05between .05 and .10between .10 and .20between .20 and .40greater than .40Item 3

What is your conclusion ( = .05)?

SelectConclude a significant relationship exists between x and yCannot conclude a significant relationship exists between x and yItem 4 - Use the
*F*test to test for a significant relationship. Use = .05.

Compute the value of the*F*test statistic (to 2 decimals).

What is the*p*-value?

Selectless than .01between .01 and .025between .025 and .05between .05 and .10greater than .10Item 6

What is your conclusion?

SelectConclude a significant relationship exists between x and yCannot conclude a significant relationship exists between x and y

Step 1

**1.**

The given estimated regression equation is y-hat = 7.6 + 0.9 x and the value of *n* is 5.

Required calculations for finding standard error are as follows:

Step 2

**The value of standard error is as follows:**

Step 3

**2.**

Hypotheses:

Null hypothesis: There no significant relationship exists between x and y.

Alternative hypothesis: There is a significant relations...

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