Conclude the coefficient of determination of regression in ANOVA.
1. In the real world, a given null hypothesis is false; but the collected data lead to the null hypothesis being accepted. That is, the data lead to a failure to reject the null hypothesis. This situation is known as a (n):
1. Type I error
2. Type II error
3. Not an error
4. None of the above
2. The market model relating the rate of return of stock XYZ (denoted RXYZ) to the rate of return of a broader index of the stock market (denoted RM) is reported as:
RXYZ = 4.46 + 0.304RM
Coefficient
|
Standard Error
|
4.460
|
3.0400
|
0.304
|
0.3243
|
Analysis of Variance
|
Source
|
DF
|
Sum of Squares
|
Regression
|
?
|
141.9
|
Residual
|
?
|
3718.9
|
Total
|
24
|
?
|
What is the coefficient of determination?
1. 0.0368
2. 0.0381
3. 0.8776
4. 0.9618