An analyst obtained the following linear regression relationship between 2 variables, X and Y: $ Y = \alpha + \beta_1X $ where $\alpha = 0.45$ and $\beta = 0.8823$. He proceeded to construct a 2-sided 95% confidence interval for the slope coefficient ($\beta_1$) and obtained the following interval: $ \beta = 0.8823 \pm 0.2147 $ Suppose the analyst decided to test the hypothesis $H_0: \beta_1 = 1$ vs $H_a: \beta_1 \ne 1$ at 5% significance, what would be the inference? | Financial Risk Manager Part 1 Quiz - LeetQuiz