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Linear Modelinghard
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Consider a simple linear regression Y=β0+β1X+ϵY = \beta_0 + \beta_1 X + \epsilonY=β0​+β1​X+ϵ. If we transform the predictor to X∗=aX+bX^* = aX + bX∗=aX+b (a>0a > 0a>0) and the response to Y∗=cY+dY^* = cY + dY∗=cY+d (c>0c > 0c>0), what is the new slope β1∗\beta_1^*β1∗​ in terms of the original β1\beta_1β1​?