Consider the following partial computer output for a multiple regression model.
Consider the following partial computer output for a multiple regression model.
Predictor | Coefficient | Standard Deviation |
Constant | 41.225 | 6.38 |
X1 | 1.081 | 1.353 |
X2 | -18.404 | 4.547 |
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Analysis of Variance | ||
Source | DF | SS |
Regression | 2 | 2270.11 |
Error | 26 | 3585.75 |
Find Total Sum of Squares, Explained Variation, SSE, MSE, R-Squared, and Test the overall usefulness of the model at 1% level of significance calculating the F-Statistic
At a recent meeting of educational researchers comparison were made between the type of college freshmen attend and the numbers who drop out. A random sample of freshmen show the following results: (keep two decimals in calculating expected frequencies)
4Yr public 4Yr private 2Yr public 2Yr private
drop out 10 9 15 9
don't drop 26 28 18 27
Use a significance level of .05 and determine if the type of school and the drop out rate are independent.
Test H0: mu=42 versus HA: mu is not equal to 42 when Xbar = 42.8, s=1.2 and n=16 at a=.01 and .05. Assume that the population from which the sample is selected is normally distributed. Indicate which test you are performing; show the test statistic and the critical values and mention whether one-tailed or two-tailed
11 years ago
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Consider the following partial computer output for a multiple regression model.
NOT RATED11 years ago