In: Statistics and Probability
| 
 x1  | 
 2  | 
 6  | 
 9  | 
 13  | 
 20  | 
| 
 y1  | 
 7  | 
 18  | 
 9  | 
 26  | 
 23  | 
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What I did below is that I ran the linear regression for Xi on Yi, and got the following results:
a. The value of standard error is 6.514 ( refer regression statistics table)
b. The p-value of .153 ( from the 3rd table of Coefficients) is more than the alpha = .05, meaning this variable x1 is not statistically significant
c. The p-value of 0.153 in the ANOVA table means that it is more
than alpha of .05, indicating that the linear regression equation
doesn't hold good - we can't use this for linear relation