Answer:
11) c. the independent variables are not col-linear
12) b. Bar graph
13) a. Units of distance from the mean
14) d. None of the above
15) b. The difference between the predicted Y and observed Y
16) c. There is no spatial auto-correlation
17) a. It has a low Adjusted R²
18) c. A point that can influence the regression in a way that reflects the value of most other points
19) c. Rejecting the Null hypothesis incorrectly
20) c. The variable is not normally distributed
Step-by-step explanation:
11) With simple linear regression there is a col linear relationship between the dependent variable and the independent variables
Therefore, the correct option is c. the independent variables are not col linear
12) The bar graph which is also known as a bar chart, is used for the frequencies of data that are categorized
Therefore, the correct option is b. Bar graph
13) The z-value is a measure of the distance from the mean, therefore, the correct option is a. Units of distance from the mean
14) The higher the R² value the increased correlation between the factors of the dependent variable and the independent variable
Therefore, the correct option is d. None of the above
15) In an OLS residual error = Observed value of Y - Predicted value of Y
Therefore, the best option is b. The difference between the predicted Y and observed Y
16) A Moran's I value of zero indicates perfect randomness or no auto-correlation
The correct option is therefore, c. There is no spatial auto-correlation
17) The adjusted R² value increases when the added variable improves the model to the observation correlation more than would be expected by chance alone, therefore, the correct option is a. It has a low Adjusted R²
18) A leverage point is a point that is far from the other points in the observation, therefore, the correct option is c. A point that can influence the regression in a way that reflects the value of most other points
19) A type 1 error occurs when an accurate (statistically acceptable) null hypothesis is rejected therefore, the correct option is c. Rejecting the Null hypothesis incorrectly
20) The Quantile-Quanttile (QQ) plot is a technique used for checking the commonness of the sources of two sets of data, therefore sources of data that are from the source (hence normally distributed) align with the diagonal lines in a QQ-Plot
The correct option is therefore c. The variable is not normally distributed
