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{"ops":[{"attributes":{"bold":true},"insert":"1. Are these statements true, false, or uncertain? Justify."},{"insert":"\nThe stochastic error term u"},{"attributes":{"script":"sub"},"insert":"i"},{"insert":" and the residual term e"},{"attributes":{"script":"sub"},"insert":"i"},{"insert":" mean the same thing."},{"attributes":{"list":"ordered"},"insert":"\n"},{"insert":"The Population Regression Function (PRF) gives the value of the dependent variable corresponding to each value of the independent variable."},{"attributes":{"list":"ordered"},"insert":"\n"},{"insert":"A linear regression model means a model linear in the variables."},{"attributes":{"list":"ordered"},"insert":"\n"},{"insert":"In the linear regression model, the explanatory variable is the cause and the dependent variable is the effect."},{"attributes":{"list":"ordered"},"insert":"\n"},{"insert":"The conditional and the unconditional mean of the random variable are the same thing."},{"attributes":{"list":"ordered"},"insert":"\n"},{"insert":"The regression coefficients, the bs, are random variables, whereas the                     s are the parameters."},{"attributes":{"list":"ordered"},"insert":"\n"},{"insert":"The slope coefficient in a simple regression model measures the slope of Y per unit change in X."},{"attributes":{"list":"ordered"},"insert":"\n"},{"insert":"In practice, the two-variable regression model is useless because the behavior of a dependent variable can never be explained by a single explanatory variable."},{"attributes":{"list":"ordered"},"insert":"\n"},{"insert":"The sum of the deviation of a random variable from its mean value is always zero."},{"attributes":{"list":"ordered"},"insert":"\n"},{"insert":"\n\n"}]}

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