A company reports bi-annual (twice a year) sales data. The sales data for the last three years is shown in below Table. The residual sum of squares of the regression is RSS = a 50 b 70 c 120 d 20
Questions 1-30 refer to the following scenario: A company reports bi-annual (twice a year) sales data. The sales data for the last three years is shown in below Table.
The residual sum of squares of the regression is RSS =
| a |
50 |
| b |
70 |
| c |
120 |
| d |
20 |
The total sum of squares of the regression is TSS =
| a |
20 |
| b |
120 |
| c |
70 |
| d |
50 |
The R-squared of the regression is R2=
| a |
0.78 |
| b |
0.68 |
| c |
0.58 |
| d |
0.88 |
The mean sum of squares of the regression is Mean ESS =
| a |
20 |
| b |
50 |
| c |
120 |
| d |
70 |
The mean sum of squares of the residuals is Mean RSS =
| a |
12.5 |
| b |
15.0 |
| c |
7.5 |
| d |
10.0 |
You want to test whether the regression in its entirety explains something which is different from zero. For this purpose you use a
| a |
Chi-squared test |
| b |
T-test |
| c |
E-test |
| d |
F-test |
The value for testing the explanatory significance of the entirety of the regression is
| a |
7.6 |
| b |
5.6 |
| c |
6.6 |
| d |
8.6 |
The probability of obtaining your regression results from a hypothesized population where there is no relationship between the two variables is somewhere between
| a |
1% and 2% |
| b |
10% and 20% |
| c |
2% and 5% |
| d |
5% and 10% |
In a regression with one intercept and only one slope coefficient, which two values will be the same?
| a |
The p-value for the F-ratio and the p-value for the t-score of the intercept |
| b |
The F-ratio and the t-score for theslope |
| c |
The p-value for the F-ratio and the p-value for the t-score of the slope coefficient |
| d |
The F-ratio and the t-score for the intercept |
In the regression, how many observations have a residual of zero (are "direct hits")?
| a |
1 |
| b |
2 |
| c |
4 |
| d |
0 |
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