## Q:

### Consider the assumptions in simple linear regression. What is the assumption of minimum sample size?

## Q:

### Consider the assumptions in simple linear regression. What is the assumption of normality?

## Q:

### Consider the assumptions in simple linear regression. What is the assumption of homogeneity of variance?

## Q:

### Which one of the following is NOT a modeling technique in clustering analysis? I. Fuzzy C-MeansII. K-MeansIII. General linear models

## Q:

### Which one of the following is a modeling technique in clustering analysis? I. Logistic regressionII. InterpolationIII. Fuzzy C-Means.

## Q:

### Which one of the following is a modeling technique in clustering analysis? I. Simple linear regressionII. K-meansIII. Logistic regression.

## Q:

### In time series analysis, the assumption that the data values all come from the same source is known as:

## Q:

### In time series analysis, two of the three assumptions are minimum sample size and stationarity. What is the third?

## Q:

### In time series analysis, what does the assumption of dependence mean?

## Q:

### In time series analysis, you can convert shorter time units into longer time units.

## Q:

### In time series analysis, one of the independent variables must be time.

## Q:

### In time series analysis, you can convert longer units of time into shorter units of time.

## Q:

### What is the difference between a classification model and a regression model?

## Q:

### What is a classification model?

## Q:

### What is a regression model?

## Q:

### What is the assumption of minimum sample size for K-means clustering?

## Q:

### What is the assumption of sphericity for K-means clustering?

## Q:

### What is the assumption equal prior probability for K-means clustering?

## Q:

### In time series there are three assumptions: minimum sample size, dependence, and:

## Q:

### In time series analysis, what is the assumption that the mean value of the series is constant called?

## Q:

### In time series, what is the assumption of stationarity?

## Q:

### In time series analysis, what is the assumed minimum sample size if time is measured in years?

## Q:

### In time series analysis, what is the assumed minimum sample size if time is measured in months?

## Q:

### In time series analysis, what is the assumed minimum sample size if time is measured in quarters?

## Q:

### Which of the following is NOT an assumption in simple linear regression? I. IndependenceII. Homogeneity of varianceIII. Sphericity

## Q:

### Which of the following is an assumption in simple linear regression? I. IndependenceII. SphericityIII. Dependence

## Q:

### Which of the following is an assumption in simple linear regression? I. LinearityII. VariabilityIII. Dependence

## Q:

### Continuous and discrete are the two types of what kind of variable?

## Q:

### Quantitative variables consist of two types. What are they?

## Q:

### Which of the following is a type of quantitative variable?

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