Que.Which of the following tool is used for estimating standard errors and the bias of estimators? |
a. knitr |
b. jackknife |
c. ggplot2 |
d. all of the mentioned |
Que.Power is the probability of rejecting the null hypothesis when it is true. |
a. True |
b. False |
c. May be True or False |
d. Can’t say |
Que.Point out the correct statement. |
a. The mean is a measure of central tendency of the data |
b. Empirical mean is related to “centering” the random variables |
c. The empirical standard deviation is a measure of spread |
d. All of the mentioned |
Que.Which of the following implies no relationship with respect to correlation? |
a. Cor(X, Y) = 1 |
b. Cor(X, Y) = 0 |
c. Cor(X, Y) = 2 |
d. All of the mentioned |
Que.Normalized data are centered at ___ and have units equal to standard deviations of the original data. |
a. 0 |
b. 5 |
c. 1 |
d. 10 |
Que.Point out the wrong statement. |
a. Regression through the origin yields an equivalent slope if you center the data first |
b. Normalizing variables results in the slope being the correlation |
c. Least squares is not an estimation tool |
d. None of the mentioned |
Que.Which of the following is correct with respect to residuals? |
a. Positive residuals are above the line, negative residuals are below |
b. Positive residuals are below the line, negative residuals are above |
c. Positive residuals and negative residuals are below the line |
d. All of the mentioned |
Que.Minimizing the likelihood is the same as maximizing -2 log likelihood. |
a. True |
b. False |
c. May be True or False |
d. Can’t say |
Que.Which of the following refers to the circumstance in which the variability of a variable is unequal across the range of values of a second variable that predicts it? |
a. Heterogeneity |
b. Heteroskedasticity |
c. Heteroelasticty |
d. None of the mentioned |
Que.Residuals are useful for investigating best model fit. |
a. True |
b. False |
c. May be True or False |
d. Can’t say |