A recent study investigated whether the number of positive health behaviors (e.g., exercising, eating healthy) is predictive of a person's score on a happiness index, such that as positive health behaviors go up, happiness goes up. The results from the study, which was conducted with 12 people, were as follows: r = 0.63 and SSY = 56.0.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
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A recent study investigated whether the number of positive health behaviors (e.g., exercising, eating healthy) is predictive of a person's score on a happiness index, such that as positive health behaviors go up, happiness goes up. The results from the study, which was conducted with 12 people, were as follows: r = 0.63 and SSY = 56.0. 

What type of statistical test should be used to test the hypothesis?  

      X     Y

      0    22

      3    50

      1    35

      5    42

      2    34

 

What is the alternative hypothesis in words?

Indicate the degrees of freedom. What is the dfregression? What is the dfresidual?

What is the critical test statistic?

 

Expert Solution
Step 1

Given information:

The sample size is N = 12.

The correlation coefficient is r = 0.63.

The value of SSY is SSY = 56.

Step 2

What typo of statistical test should be used:

The investigator is specially interested to test whether the number of positive health behaviors is predictive of a person's score on a happiness index.

To test for the significance of regression model, F-test is used.

Step 3

What is the alternative hypothesis in words:

Denote β1 as the regression coefficient for the predictor variable x and β0 as the intercept.

The null and alternate hypotheses are stated below:

Null hypothesis H0:

H0: β1 = 0

That is, the regression model is not significant in predicting the response variable.

Alternative hypothesis H1:

H1: β1 ≠ 0

That is, the regression model is significant in predicting the response variable.

Alternative hypothesis: The regression is significant in predicting the response variable.

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