sing the following values: sum squared of deviations on variable X equals 140, sum squared of deviations on variable Y equals 60; sum of product of deviations between the variables X and Y equals -80 ; arithmetic mean for variable X equals 3, arithmetic mean for variable Y equals 12. Number of observations = 30. Xpredict=2 Estimate the coefficients: intercept and slope. Calculate the coefficient of determination. Give the interpretation. Calculate the standard error on the estimated equation. Make the tests on statistical significance for level of significance 0,05 (t-test only for coefficient slope, F-test). List all levels of significance for which the null hypothesis is rejected. Calculate the pointed forecasting and confidence intervals. Calculate the average coefficient of elasticity, interpretation. Write a general conclusion about the quality of fitting the estimated equation
Using the following values: sum squared of deviations on variable X equals 140, sum squared of deviations on variable Y equals 60; sum of product of deviations between the variables X and Y equals -80 ; arithmetic mean for variable X equals 3, arithmetic mean for variable Y equals 12. Number of observations = 30. Xpredict=2
Estimate the coefficients: intercept and slope.
Calculate the coefficient of determination. Give the interpretation.
Calculate the standard error on the estimated equation.
Make the tests on statistical significance for level of significance 0,05 (t-test only for coefficient slope, F-test).
List all levels of significance for which the null hypothesis is rejected.
Calculate the pointed forecasting and confidence intervals.
Calculate the average coefficient of elasticity, interpretation.
Write a general conclusion about the quality of fitting the estimated equation.
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