You are testing the null hypothesis that there is no relationship between two variables, X and Y. From your sample of n = 18, you determine that SSR = 80 and SSE 20. Complete parts (a) through (e) below. e. At the 0.05 level of significance, is there a significant correlation between X and Y? Determine the null and alternative hypotheses for this test. OA. Ho: p#0 H₁: p=0 OC. Ho: p≤0 H₁: p>0 Find the test statistic, ISTAT ISTAT = (Round to four decimal places as needed.) Determine the critical values of t. ... n OB. Ho: p=0 H₁: p#0 OD. Ho: p20 H₁: p<0

MATLAB: An Introduction with Applications
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The image presents a statistical exercise focused on testing the null hypothesis concerning the relationship between two variables, X and Y. It provides sample data (n = 18) with SSR (Sum of Squares for Regression) equal to 80 and SSE (Sum of Squares for Error) equal to 20. The exercise involves completing parts (a) through (e), with part (e) specifically addressed in the image.

**Part (e):** At the 0.05 level of significance, the exercise asks whether there is a significant correlation between X and Y. The task is to determine the null and alternative hypotheses for this test.

**Hypothesis Options:**

- Option A:
  - Null Hypothesis (H₀): ρ ≠ 0
  - Alternative Hypothesis (H₁): ρ = 0

- Option B:
  - Null Hypothesis (H₀): ρ = 0
  - Alternative Hypothesis (H₁): ρ ≠ 0

- Option C:
  - Null Hypothesis (H₀): ρ ≤ 0
  - Alternative Hypothesis (H₁): ρ > 0

- Option D:
  - Null Hypothesis (H₀): ρ ≥ 0
  - Alternative Hypothesis (H₁): ρ < 0

The task is to find the test statistic, denoted as t_STAT, and it instructs to round the answer to four decimal places. Additionally, it involves determining the critical values of t, with a placeholder provided for the lower critical value.

There is no graph or diagram visible in the image.
Transcribed Image Text:The image presents a statistical exercise focused on testing the null hypothesis concerning the relationship between two variables, X and Y. It provides sample data (n = 18) with SSR (Sum of Squares for Regression) equal to 80 and SSE (Sum of Squares for Error) equal to 20. The exercise involves completing parts (a) through (e), with part (e) specifically addressed in the image. **Part (e):** At the 0.05 level of significance, the exercise asks whether there is a significant correlation between X and Y. The task is to determine the null and alternative hypotheses for this test. **Hypothesis Options:** - Option A: - Null Hypothesis (H₀): ρ ≠ 0 - Alternative Hypothesis (H₁): ρ = 0 - Option B: - Null Hypothesis (H₀): ρ = 0 - Alternative Hypothesis (H₁): ρ ≠ 0 - Option C: - Null Hypothesis (H₀): ρ ≤ 0 - Alternative Hypothesis (H₁): ρ > 0 - Option D: - Null Hypothesis (H₀): ρ ≥ 0 - Alternative Hypothesis (H₁): ρ < 0 The task is to find the test statistic, denoted as t_STAT, and it instructs to round the answer to four decimal places. Additionally, it involves determining the critical values of t, with a placeholder provided for the lower critical value. There is no graph or diagram visible in the image.
**Hypothesis Testing for Correlation**

In this exercise, you are testing the null hypothesis that there is no relationship between two variables, X and Y. Based on your sample with \( n = 18 \), you have determined that the Sum of Squares Regression (SSR) is 80, and the Sum of Squares Error (SSE) is 20. Complete parts (a) through (e) below.

---

**Determine the critical values of t.**

- The lower critical value is: [ ]
- The upper critical value is: [ ]
  *(Round to four decimal places as needed.)*

**Is there significant correlation between X and Y?**

- **A.** No because \( t_{STAT} \) is outside the range of the critical values.
- **B.** No because \( t_{STAT} \) is between the lower critical value and the upper critical value.
- **C.** Yes because \( t_{STAT} \) is between the lower critical value and the upper critical value.
- **D.** Yes because \( t_{STAT} \) is outside the range of the critical values.
Transcribed Image Text:**Hypothesis Testing for Correlation** In this exercise, you are testing the null hypothesis that there is no relationship between two variables, X and Y. Based on your sample with \( n = 18 \), you have determined that the Sum of Squares Regression (SSR) is 80, and the Sum of Squares Error (SSE) is 20. Complete parts (a) through (e) below. --- **Determine the critical values of t.** - The lower critical value is: [ ] - The upper critical value is: [ ] *(Round to four decimal places as needed.)* **Is there significant correlation between X and Y?** - **A.** No because \( t_{STAT} \) is outside the range of the critical values. - **B.** No because \( t_{STAT} \) is between the lower critical value and the upper critical value. - **C.** Yes because \( t_{STAT} \) is between the lower critical value and the upper critical value. - **D.** Yes because \( t_{STAT} \) is outside the range of the critical values.
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