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: b
0.
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
