In: Statistics and Probability
x1 |
2 |
6 |
9 |
13 |
20 |
y1 |
7 |
18 |
9 |
26 |
23 |
Please don't hesitate to give a "thumbs up" for the answer in case the answer has helped you
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