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In the Multiple Regression Model with Two Explanatory Variables

question 31

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In the multiple regression model with two explanatory variables In the multiple regression model with two explanatory variables   the OLS estimators for the three parameters are as follows (small letters refer to deviations from means as in zi = Zi -   ):       You have collected data for 104 countries of the world from the Penn World Tables and want to estimate the effect of the population growth rate (   )and the saving rate (   )(average investment share of GDP from 1980 to 1990)on GDP per worker (relative to the U.S. )in 1990.The various sums needed to calculate the OLS estimates are given below:   = 33.33;   = 2.025;   = 17.313   = 8.3103;   = .0122;   = 0.6422   = -0.2304;   = 1.5676;   = -0.0520 (a)What are your expected signs for the regression coefficient? Calculate the coefficients and see if their signs correspond to your intuition. (b)Find the regression   ,and interpret it.What other factors can you think of that might have an influence on productivity? the OLS estimators for the three parameters are as follows (small letters refer to deviations from means as in zi = Zi - In the multiple regression model with two explanatory variables   the OLS estimators for the three parameters are as follows (small letters refer to deviations from means as in zi = Zi -   ):       You have collected data for 104 countries of the world from the Penn World Tables and want to estimate the effect of the population growth rate (   )and the saving rate (   )(average investment share of GDP from 1980 to 1990)on GDP per worker (relative to the U.S. )in 1990.The various sums needed to calculate the OLS estimates are given below:   = 33.33;   = 2.025;   = 17.313   = 8.3103;   = .0122;   = 0.6422   = -0.2304;   = 1.5676;   = -0.0520 (a)What are your expected signs for the regression coefficient? Calculate the coefficients and see if their signs correspond to your intuition. (b)Find the regression   ,and interpret it.What other factors can you think of that might have an influence on productivity? ): In the multiple regression model with two explanatory variables   the OLS estimators for the three parameters are as follows (small letters refer to deviations from means as in zi = Zi -   ):       You have collected data for 104 countries of the world from the Penn World Tables and want to estimate the effect of the population growth rate (   )and the saving rate (   )(average investment share of GDP from 1980 to 1990)on GDP per worker (relative to the U.S. )in 1990.The various sums needed to calculate the OLS estimates are given below:   = 33.33;   = 2.025;   = 17.313   = 8.3103;   = .0122;   = 0.6422   = -0.2304;   = 1.5676;   = -0.0520 (a)What are your expected signs for the regression coefficient? Calculate the coefficients and see if their signs correspond to your intuition. (b)Find the regression   ,and interpret it.What other factors can you think of that might have an influence on productivity? In the multiple regression model with two explanatory variables   the OLS estimators for the three parameters are as follows (small letters refer to deviations from means as in zi = Zi -   ):       You have collected data for 104 countries of the world from the Penn World Tables and want to estimate the effect of the population growth rate (   )and the saving rate (   )(average investment share of GDP from 1980 to 1990)on GDP per worker (relative to the U.S. )in 1990.The various sums needed to calculate the OLS estimates are given below:   = 33.33;   = 2.025;   = 17.313   = 8.3103;   = .0122;   = 0.6422   = -0.2304;   = 1.5676;   = -0.0520 (a)What are your expected signs for the regression coefficient? Calculate the coefficients and see if their signs correspond to your intuition. (b)Find the regression   ,and interpret it.What other factors can you think of that might have an influence on productivity? In the multiple regression model with two explanatory variables   the OLS estimators for the three parameters are as follows (small letters refer to deviations from means as in zi = Zi -   ):       You have collected data for 104 countries of the world from the Penn World Tables and want to estimate the effect of the population growth rate (   )and the saving rate (   )(average investment share of GDP from 1980 to 1990)on GDP per worker (relative to the U.S. )in 1990.The various sums needed to calculate the OLS estimates are given below:   = 33.33;   = 2.025;   = 17.313   = 8.3103;   = .0122;   = 0.6422   = -0.2304;   = 1.5676;   = -0.0520 (a)What are your expected signs for the regression coefficient? Calculate the coefficients and see if their signs correspond to your intuition. (b)Find the regression   ,and interpret it.What other factors can you think of that might have an influence on productivity? You have collected data for 104 countries of the world from the Penn World Tables and want to estimate the effect of the population growth rate ( In the multiple regression model with two explanatory variables   the OLS estimators for the three parameters are as follows (small letters refer to deviations from means as in zi = Zi -   ):       You have collected data for 104 countries of the world from the Penn World Tables and want to estimate the effect of the population growth rate (   )and the saving rate (   )(average investment share of GDP from 1980 to 1990)on GDP per worker (relative to the U.S. )in 1990.The various sums needed to calculate the OLS estimates are given below:   = 33.33;   = 2.025;   = 17.313   = 8.3103;   = .0122;   = 0.6422   = -0.2304;   = 1.5676;   = -0.0520 (a)What are your expected signs for the regression coefficient? Calculate the coefficients and see if their signs correspond to your intuition. (b)Find the regression   ,and interpret it.What other factors can you think of that might have an influence on productivity? )and the saving rate ( In the multiple regression model with two explanatory variables   the OLS estimators for the three parameters are as follows (small letters refer to deviations from means as in zi = Zi -   ):       You have collected data for 104 countries of the world from the Penn World Tables and want to estimate the effect of the population growth rate (   )and the saving rate (   )(average investment share of GDP from 1980 to 1990)on GDP per worker (relative to the U.S. )in 1990.The various sums needed to calculate the OLS estimates are given below:   = 33.33;   = 2.025;   = 17.313   = 8.3103;   = .0122;   = 0.6422   = -0.2304;   = 1.5676;   = -0.0520 (a)What are your expected signs for the regression coefficient? Calculate the coefficients and see if their signs correspond to your intuition. (b)Find the regression   ,and interpret it.What other factors can you think of that might have an influence on productivity? )(average investment share of GDP from 1980 to 1990)on GDP per worker (relative to the U.S. )in 1990.The various sums needed to calculate the OLS estimates are given below: In the multiple regression model with two explanatory variables   the OLS estimators for the three parameters are as follows (small letters refer to deviations from means as in zi = Zi -   ):       You have collected data for 104 countries of the world from the Penn World Tables and want to estimate the effect of the population growth rate (   )and the saving rate (   )(average investment share of GDP from 1980 to 1990)on GDP per worker (relative to the U.S. )in 1990.The various sums needed to calculate the OLS estimates are given below:   = 33.33;   = 2.025;   = 17.313   = 8.3103;   = .0122;   = 0.6422   = -0.2304;   = 1.5676;   = -0.0520 (a)What are your expected signs for the regression coefficient? Calculate the coefficients and see if their signs correspond to your intuition. (b)Find the regression   ,and interpret it.What other factors can you think of that might have an influence on productivity? = 33.33; In the multiple regression model with two explanatory variables   the OLS estimators for the three parameters are as follows (small letters refer to deviations from means as in zi = Zi -   ):       You have collected data for 104 countries of the world from the Penn World Tables and want to estimate the effect of the population growth rate (   )and the saving rate (   )(average investment share of GDP from 1980 to 1990)on GDP per worker (relative to the U.S. )in 1990.The various sums needed to calculate the OLS estimates are given below:   = 33.33;   = 2.025;   = 17.313   = 8.3103;   = .0122;   = 0.6422   = -0.2304;   = 1.5676;   = -0.0520 (a)What are your expected signs for the regression coefficient? Calculate the coefficients and see if their signs correspond to your intuition. (b)Find the regression   ,and interpret it.What other factors can you think of that might have an influence on productivity? = 2.025; In the multiple regression model with two explanatory variables   the OLS estimators for the three parameters are as follows (small letters refer to deviations from means as in zi = Zi -   ):       You have collected data for 104 countries of the world from the Penn World Tables and want to estimate the effect of the population growth rate (   )and the saving rate (   )(average investment share of GDP from 1980 to 1990)on GDP per worker (relative to the U.S. )in 1990.The various sums needed to calculate the OLS estimates are given below:   = 33.33;   = 2.025;   = 17.313   = 8.3103;   = .0122;   = 0.6422   = -0.2304;   = 1.5676;   = -0.0520 (a)What are your expected signs for the regression coefficient? Calculate the coefficients and see if their signs correspond to your intuition. (b)Find the regression   ,and interpret it.What other factors can you think of that might have an influence on productivity? = 17.313 In the multiple regression model with two explanatory variables   the OLS estimators for the three parameters are as follows (small letters refer to deviations from means as in zi = Zi -   ):       You have collected data for 104 countries of the world from the Penn World Tables and want to estimate the effect of the population growth rate (   )and the saving rate (   )(average investment share of GDP from 1980 to 1990)on GDP per worker (relative to the U.S. )in 1990.The various sums needed to calculate the OLS estimates are given below:   = 33.33;   = 2.025;   = 17.313   = 8.3103;   = .0122;   = 0.6422   = -0.2304;   = 1.5676;   = -0.0520 (a)What are your expected signs for the regression coefficient? Calculate the coefficients and see if their signs correspond to your intuition. (b)Find the regression   ,and interpret it.What other factors can you think of that might have an influence on productivity? = 8.3103; In the multiple regression model with two explanatory variables   the OLS estimators for the three parameters are as follows (small letters refer to deviations from means as in zi = Zi -   ):       You have collected data for 104 countries of the world from the Penn World Tables and want to estimate the effect of the population growth rate (   )and the saving rate (   )(average investment share of GDP from 1980 to 1990)on GDP per worker (relative to the U.S. )in 1990.The various sums needed to calculate the OLS estimates are given below:   = 33.33;   = 2.025;   = 17.313   = 8.3103;   = .0122;   = 0.6422   = -0.2304;   = 1.5676;   = -0.0520 (a)What are your expected signs for the regression coefficient? Calculate the coefficients and see if their signs correspond to your intuition. (b)Find the regression   ,and interpret it.What other factors can you think of that might have an influence on productivity? = .0122; In the multiple regression model with two explanatory variables   the OLS estimators for the three parameters are as follows (small letters refer to deviations from means as in zi = Zi -   ):       You have collected data for 104 countries of the world from the Penn World Tables and want to estimate the effect of the population growth rate (   )and the saving rate (   )(average investment share of GDP from 1980 to 1990)on GDP per worker (relative to the U.S. )in 1990.The various sums needed to calculate the OLS estimates are given below:   = 33.33;   = 2.025;   = 17.313   = 8.3103;   = .0122;   = 0.6422   = -0.2304;   = 1.5676;   = -0.0520 (a)What are your expected signs for the regression coefficient? Calculate the coefficients and see if their signs correspond to your intuition. (b)Find the regression   ,and interpret it.What other factors can you think of that might have an influence on productivity? = 0.6422 In the multiple regression model with two explanatory variables   the OLS estimators for the three parameters are as follows (small letters refer to deviations from means as in zi = Zi -   ):       You have collected data for 104 countries of the world from the Penn World Tables and want to estimate the effect of the population growth rate (   )and the saving rate (   )(average investment share of GDP from 1980 to 1990)on GDP per worker (relative to the U.S. )in 1990.The various sums needed to calculate the OLS estimates are given below:   = 33.33;   = 2.025;   = 17.313   = 8.3103;   = .0122;   = 0.6422   = -0.2304;   = 1.5676;   = -0.0520 (a)What are your expected signs for the regression coefficient? Calculate the coefficients and see if their signs correspond to your intuition. (b)Find the regression   ,and interpret it.What other factors can you think of that might have an influence on productivity? = -0.2304; In the multiple regression model with two explanatory variables   the OLS estimators for the three parameters are as follows (small letters refer to deviations from means as in zi = Zi -   ):       You have collected data for 104 countries of the world from the Penn World Tables and want to estimate the effect of the population growth rate (   )and the saving rate (   )(average investment share of GDP from 1980 to 1990)on GDP per worker (relative to the U.S. )in 1990.The various sums needed to calculate the OLS estimates are given below:   = 33.33;   = 2.025;   = 17.313   = 8.3103;   = .0122;   = 0.6422   = -0.2304;   = 1.5676;   = -0.0520 (a)What are your expected signs for the regression coefficient? Calculate the coefficients and see if their signs correspond to your intuition. (b)Find the regression   ,and interpret it.What other factors can you think of that might have an influence on productivity? = 1.5676; In the multiple regression model with two explanatory variables   the OLS estimators for the three parameters are as follows (small letters refer to deviations from means as in zi = Zi -   ):       You have collected data for 104 countries of the world from the Penn World Tables and want to estimate the effect of the population growth rate (   )and the saving rate (   )(average investment share of GDP from 1980 to 1990)on GDP per worker (relative to the U.S. )in 1990.The various sums needed to calculate the OLS estimates are given below:   = 33.33;   = 2.025;   = 17.313   = 8.3103;   = .0122;   = 0.6422   = -0.2304;   = 1.5676;   = -0.0520 (a)What are your expected signs for the regression coefficient? Calculate the coefficients and see if their signs correspond to your intuition. (b)Find the regression   ,and interpret it.What other factors can you think of that might have an influence on productivity? = -0.0520
(a)What are your expected signs for the regression coefficient? Calculate the coefficients and see if their signs correspond to your intuition.
(b)Find the regression In the multiple regression model with two explanatory variables   the OLS estimators for the three parameters are as follows (small letters refer to deviations from means as in zi = Zi -   ):       You have collected data for 104 countries of the world from the Penn World Tables and want to estimate the effect of the population growth rate (   )and the saving rate (   )(average investment share of GDP from 1980 to 1990)on GDP per worker (relative to the U.S. )in 1990.The various sums needed to calculate the OLS estimates are given below:   = 33.33;   = 2.025;   = 17.313   = 8.3103;   = .0122;   = 0.6422   = -0.2304;   = 1.5676;   = -0.0520 (a)What are your expected signs for the regression coefficient? Calculate the coefficients and see if their signs correspond to your intuition. (b)Find the regression   ,and interpret it.What other factors can you think of that might have an influence on productivity? ,and interpret it.What other factors can you think of that might have an influence on productivity?


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