In: Statistics and Probability
x |
26 |
27 |
33 |
29 |
29 |
34 |
30 |
40 |
22 |
y |
290 |
305 |
325 |
327 |
356 |
411 |
488 |
554 |
246 |
a) The simple linear regression model is , where is the error term and follows a Normal(0, ).
The assumptions are i) The error terms are independent.
ii) The variance of the error term remains the same.
iii) There exist a linear relationship between the two variables.
b) The least-square regression line is: Y = -109.917 + 15.894X
c) The 95% confidence interval for the slope parameter is (6.3, 25.486)
d) The hypothesis is: Ho: b=0 vs Ha: b0.
The test statistic is 3.918. P-value is 0.0058.
Conclusion: At a significance level of 5%, there is sufficient evidence to support the claim that the slope of the line is not 0.
Here I've attached the excel output