1. The correlation coefficient is used to determine: a A. A specific value of th
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Question
1. The correlation coefficient is used to determine: a A. A specific value of the Y-variable given a specific value of the X-variable a B. A specific value of the X-variable given a specific value of the Y-variable. a C. The strength of the association between the X and the Y variable. D. All of the above E. None of the above 2. If there is a strong, positive correlation between two ratio-scale variables, then the correlation must be A. Any value larger than 1 B. Any value between 0 and 1 C. Any value between 0.5 and 1 D. Any value between 0.7 and 1 E. All of the above 3. The correlation coefficient calculated on the ranks and not the original ratio-scale for the variables, X and Y is called A. Intraclass correlation a B. Partial correlation C. Pearson correlation D. Product moment correlation a E. Spearman correlation 4. A correlation of+0.86 between number of churches and numbers of violent crime in cities in the USA is best explained as (select all that apply) A. The greater the number of churches, the more likely crimes will be committed in the city B. A troubling statistic has been revealed and it deserves more study C. Need to test this correlation with a different sample of cities to see if this is a general pattem D. The greater the number of churches the more crime o E. This correlation is most likely explained by a missing covariate 5. In regression analysis, the variable that is being predicted is called the A. covariate (select all that apply) B. dependent C- factor D. independent a E. missing 6. In a regression analysis, if R is equal to 1, then A. Error (residual) sum of squares must be equal to one B. Error sum (residual) of squares must be equal to zero C. Regression sum of squares must be equal to one D. Regression sum of squares must be equal to zero o E. All of the above 7. Select all true statements about the regression slope coefficient A. Estimates for a slope can range from-1 to +1 B. If the p-value for the t-test of the slope is less than 5%, then the 95% Confidence Interval for the slope does not include zero C. If the coefficient ofdeterm ination is equal to 100%, then the slope must be equal to 1. D. All of these statements are true. 8. If the null hypothesis is true in the population regarding the slope in a simple linear regression, then the regression mean squares (MSB) and residual mean squares (MSE) from the ANOVA table both estimate A. error variance o B. regression sum of squares C. the F statistic D, the coefficient of determinationExplanation / Answer
Answer:
1) Answer is C - The Strength of the association between the X and the Y variable.
2) Answer is D - Any value between 0.7 and 1.
3) Answer is E - Spearman correlation.
4) Answer is A - The greater the number of churches, the more likely the crimes will be committed in the city.
5) Answer is B - Dependent variable.
6) Answer is B - Error (residual) Sum of Squares must be equal to zero.
7) Answer is B - Explanation: when P-value is low, we reject the null hypothesis and accept the alternative hypothesis, i.e. slope is not 0, And so the resulting confidence interval will not have 0.
8) Answer is C - F Statistic.
F statistic = MSB / MSE
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