Y = 130.0093 - 3.5017 + .0034
The error sum of squares was 465.1348. Each of the following statements is incorrect; your job is to correct each.
a. For each one-unit change in , we expect Y to decrease by -3.5017 units
b. The estimated standard error of the regression is 22.1493
c. There is a direct relation between and Y
d. The fitting error for the data point Y = 50, , and = 1024 is 52.1565
e. If we reduce the value of from 0.0034 to 0.0014, the error sum of squares will
be less than 465.1348
42. Find the cutoff F-value for the following testing situations:
a. Ho: Beta 1 = Beta 2 = Beta 3 = 0; n = 28; and significance level = 0.05
b. Ho: Beta1 = Beta 2 = Beta 3 = Beta 4 = Beta 5 = Beta 6 = 0; n = 35; and significance level = 0.10
c. Ho: Beta 1 = Beta 2 = 0; n = 15; and significance level = 0.01
43, 44. See attached word document.© BrainMass Inc. brainmass.com September 19, 2018, 9:06 am ad1c9bdddf - https://brainmass.com/statistics/regression-analysis/statistics-multiple-regression-analysis-517917
41. a. the right statement is:
For each one unit increase in x1, we expect Y to decrease by 3.5017 units.
b. the estimated standard error of the regression ...
The solution provides a multiple regression analysis for the given data.