This question is a little bit referring to this question How to determine trend strength from linear regression slope? but I found a another solution so I am creating new question to confirm my idea. In my previous question I need to determine how is a trend in dataset steep. I were trying to do it with slope parameter from linear regression equation. I have a another idea and I would like to consult it.
According to linear regression equation I can determine two points that lie on this regression line. Next I can create a line that crosses one of these two points and is collinear with x-axis. Now I can compute degree between this horizontal line and regression line. Maximum value of this angle is 90°. So I can compute my angle (e.g. 48°) and divide it with 90°.
Trend strength = 48 / 90 = 0.53
what means 53% of its maximum value and with this I can work in my application.
Question: Is my idea correct from statistical perspective?