Predict X based on the datasets in Y
X |
Y |
250 360 475 525 610 740 880 920 1010 1200 |
303 491 659 683 922 1044 1421 1329 1481 1815 |
a) Construct the prediction equation.
b) Conduct hypothesis test using alpha=0.05 and draw a conclusion.
(a) The prediction equation is:
y = -96.6709 + 1.5946*x
(b) The hypothesis being tested is:
H0: β1 = 0
H1: β1 ≠ 0
Source | SS | df | MS | F | p-value |
Regression | 21,25,515.1260 | 1 | 21,25,515.1260 | 737.95 | 3.63E-09 |
Residual | 23,042.4740 | 8 | 2,880.3093 | ||
Total | 21,48,557.6000 | 9 |
The p-value is 0.0000.
Since the p-value (0.0000) is less than the significance level (0.05), we can reject the null hypothesis.
Therefore, we can conclude that the slope is significant.
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