Ononot — In a simple linear regression model Y = \beta0 + \beta1 X +

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Linear Modelinghard

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In a simple linear regression model $Y = \beta_0 + \beta_1 X + \epsilon$ , if we transform the predictor $X$ to $X^* = aX + b$ ( $a > 0$ ) and the response $Y$ to $Y^* = cY + d$ ( $c > 0$ ), how does the new slope $\beta_1^$ of the model $Y^ = \beta_0^* + \beta_1^* X^* + \epsilon^*$ relate to the original slope $\beta_1$ ?