The statistical software output for this problem is:
Simple linear regression results:
Dependent Variable: y
Independent Variable: x
y = 32.93865 + 0.20858896 x
Sample size: 6
R (correlation coefficient) = 0.4567154
R-sq = 0.20858896
Estimate of error standard deviation: 3.6679678
Parameter estimates:
Parameter | Estimate | Std. Err. | Alternative | DF | T-Stat | P-value |
---|---|---|---|---|---|---|
Intercept | 32.93865 | 15.714057 | ≠ 0 | 4 | 2.0961265 | 0.1041 |
Slope | 0.20858896 | 0.20314995 | > 0 | 4 | 1.0267734 | 0.1813 |
Hence,
0.1 < P-Value < 0.2
Option C is correct.
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