Complete the table ANOVA knowing that total sum of squared deviations is equals 104, explained sum of squared is equals 89, number of observations = 52; the model is Y=b1+62*X1 + 63*X2+b3*X3 (1,5)
3. Complete the table ANOVA knowing that total sum of squared deviations is equals
104, explained sum of squared is equals 89, number of observations = 52;
the model is Y=b1+62*X1 + 63*X2+b3*X3 (1,5)
4. Solve the problem (6,0):
Using the following values: sum squared of deviations on variable X equals 80, sum squared of deviations on variable Y equals 30;
sum of product of deviations between the variables X and Y equals -40; arithmetic mean for variable X equals 6, arithmetic mean for variable Y equals 20.
Number of observations 14. X pr-5
Estimate the coefficients: intercept and slope. Compute the table ANOVA and determine the coefficient of determination.
Calculate the standard error on the estimated equation. Make the tests on statistical significance for level of significance 0,05 (t-test, 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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