Question: Consider the following R code that implements two different linear regression models: model1

Consider the following R code that implements two different linear regression models: model1 <- lm(y ~ 1 + x, data = dataset) model2 <- lm(y ~ -1 + x, data = dataset)) Give the formula of the regression line for both models. Use x[i] for the the explanatory variable, alpha for the intercept parameter and beta for the slope parameter. Model 1: E[Yi]= Model 2: E[Yi]=

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