Estimated regression equation is Y= 2.4 + 9.6X
STATISTICS QUESTIONS
1. Estimated regression equation is Y= 2.4 + 9.6X:
A. TRUE |
B. FALSE |
2. At .05 level of significance, we reject the null hypothesis that intercept equals 0 in the population.
A. TRUE | ||
B. FALSE 3. The regression model is statistically significant.
|
4. The confidence interval for slope coefficient was formed using a significance level of 80%.
A. TRUE |
B. FALSE |
5. The slope of the regression line is 2.4.
A. TRUE |
B. FALSE |
6. X is a significant predictor of Y in the population.
A. TRUE |
B. FALSE |
7. 49.3% of the variation in the Y can be explained by variation in X.
A. TRUE |
B. FALSE |
8. When X increases by 2.4 units, the predicted value of Y increases by 1 unit.
A. TRUE |
B. FALSE |
9. The test statistic corresponding to the intercept of the regression line is 9.6
A. FALSE |
B. TRUE |
10. The correlation between X and Y is positive.
A. FALSE |
B. TRUE |
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Rating:
/5
