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Linear Modelingmedium
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The original simple linear regression model is y^=β0+β1x\hat{y} = \beta_0 + \beta_1 xy^​=β0​+β1​x. If we transform the variables such that yi′=3yiy'_i = 3y_iyi′​=3yi​ and xi′=2xix'_i = 2x_ixi′​=2xi​ for all observations, what is the new slope β1′\beta'_1β1′​ in terms of the original slope β1\beta_1β1​?