Interpreting Simple Linear Regression1. Linear correlation coefficient r = 0.7945562. Coefficient of Determination ( r square) 0.6313193. Standard Error of the estimate = 12.96684. SSR (Explained variation) = 5182.415. SSE ( Unexplained variation) = 3026.496. SST = 8208.907. Predicted equation or equation of the regression line (Y predicted or hat) = 0.725983X + 16.55238. Level of Significance = 0.19. Critical Value= 0.37841910. t test = 0.794556QuestionWhat is meant by a hypothesis? State the hypothesis in this example? A hypothesis is a claim about the correlation between the Y and X variables in the population under study:There are two hypothesis (claims)Null Hypothesis is that (rho) = 0Alternative Hypothesis is (rho) is not equal to 0 A hypothesis is a claim about the correlation between the Y and X variables in the population under study:There is only one hypothesis (claim) as follows:Null Hypothesis is that (rho) = 0 A hypothesis is a claim about the correlation between the Y and X variables in the population under study:There is only one hypothesis (claim) as follows:Alternative Hypothesis is (rho) is not equal to 0 None of the above

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6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

Related questions

Question

Interpreting Simple Linear Regression

1. Linear correlation coefficient r = 0.794556

2. Coefficient of Determination ( r square) 0.631319

3. Standard Error of the estimate = 12.9668

4. SSR (Explained variation) = 5182.41

5. SSE ( Unexplained variation) = 3026.49

6. SST = 8208.90

7. Predicted equation or equation of the regression line (Y predicted or hat) = 0.725983X + 16.5523

8. Level of Significance = 0.1

9. Critical Value= 0.378419

10. t test = 0.794556

Question

What is meant by a hypothesis? State the hypothesis in this example?

A hypothesis is a claim about the correlation between the Y and X variables in the population under study:

There are two hypothesis (claims)

Null Hypothesis is that (rho) = 0

Alternative Hypothesis is (rho) is not equal to 0
A hypothesis is a claim about the correlation between the Y and X variables in the population under study:

There is only one hypothesis (claim) as follows:

Null Hypothesis is that (rho) = 0
A hypothesis is a claim about the correlation between the Y and X variables in the population under study:

There is only one hypothesis (claim) as follows:

Alternative Hypothesis is (rho) is not equal to 0
None of the above