Suppose you are given the following x and y values. Assume x is the independent variable and y the dependent variable.
x | y |
13 | 10 |
10 | 11 |
3 | 4 |
29 | 23 |
5 | 8 |
25 | 21 |
8 | 10 |
17 | 15 |
19 | 17 |
31 | 29 |
23 | 24 |
Is there a significant relationship between x and y? Explain. Test at a 5% level of significance
A. Yes, since the null hypothesis H0: β1 = 0 is not rejected.
B. No, since the null hypothesis H0: β1 = 0 is not rejected.
C. No, since the null hypothesis H0: β1 = 0 is rejected.
D. Yes, since the null hypothesis H0: β1 = 0 is rejected.
What is the regression equation?
A. 2.5296 + 0.7878x
B. 2.5296 + 0.7878y
C. 2.5296x + 0.7878
D. 0.7878x
What is the coefficient of determination?
A. 11.9696
B. 2.006
C. 0.0000
D. 0.9409
The statistical software output for this problem is:
Hence,
Answer - 1: The relationship is significant since the null hypothesis H0: β1 = 0 is rejected.
Option D is correct.
Answer - 2: Regression equation:
y = 2.5296 + 0.7878x
Option A is correct.
Answer - 3: Coefficient of determination = R - square = 0.9409
Option D is correct.
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