Suppose that you are given the data below: Table 2: Observations Y х Obs. 1 Obs. 2 Obs. 3 Obs. 4 Obs. 5 Obs. 6 Obs. 7 2
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Suppose that you are given the data below: Table 2: Observations Y х Obs. 1 Obs. 2 Obs. 3 Obs. 4 Obs. 5 Obs. 6 Obs. 7 2
Suppose that you are given the data below: Table 2: Observations Y х Obs. 1 Obs. 2 Obs. 3 Obs. 4 Obs. 5 Obs. 6 Obs. 7 2 4 6 1 7 3 5 4 5 4 1 5 1 8 You are also given the following information that covariance of (Y, X), oyx - 3.17, variance of Yo- 4.67, variance of X, až=6, mean of Y, Y-4 and mean of X, X=4. Using those information, (a) Calculate the OLS slope and intercept using the information you are given. (b) Predict the fitted values, (c) Predict the residuals. (d) Calculate the R. (e) Suppose that you are given on = 1.45 and 0, -0.32. Using this information perform the hypothesis tests to understand whether the OLS coefficients are statistically significant.
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