Predictor Constant 198.62 Calcium Coef SE Coef T 132.7 1.50 0.164 1.5537 0.2950 5.27 0.000 S- 14.6043 R-5q- 73.50 R-Sq(a

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answerhappygod
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Predictor Constant 198.62 Calcium Coef SE Coef T 132.7 1.50 0.164 1.5537 0.2950 5.27 0.000 S- 14.6043 R-5q- 73.50 R-Sq(a

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Predictor Constant 198 62 Calcium Coef Se Coef T 132 7 1 50 0 164 1 5537 0 2950 5 27 0 000 S 14 6043 R 5q 73 50 R Sq A 1
Predictor Constant 198 62 Calcium Coef Se Coef T 132 7 1 50 0 164 1 5537 0 2950 5 27 0 000 S 14 6043 R 5q 73 50 R Sq A 1 (80.31 KiB) Viewed 85 times
Predictor Constant 198.62 Calcium Coef SE Coef T 132.7 1.50 0.164 1.5537 0.2950 5.27 0.000 S- 14.6043 R-5q- 73.50 R-Sq(adj) 70.98 6 P Do this second: Based on the output, what is the conclusion in terms of the problem if alpha is set to 5%? Do this last: There are 2 p-values in any regression output. One of the p-values is used for the slope 3. Ha: B1 (population slope) = 0 test. What is the other p-value 4. The Sample y-intercept used to test? Do this first: What is the alternative hypothesis for the slope test? 1. Ha: b₁ (sample slope) # 0 2. The sample slope 5. The Population y-intercept 6. Ha B₁ (population slope) 0 7. Do not reject the null. We do not have strong evidence that there exists a linear relationship between serum cholesterol and arterial calcium deposition. 8. Reject the null. We have strong evidence that there exists a linear relationship between serum cholesterol and arterial calcium. deposition.
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