CAIIB-ABM-ch5

What is the primary characteristic of a time series

data?

• Nothing remains the same.

• With time, everything changes.

• It is always assumed that growth is good.

• Time series data is unrelated to change.

What is a common assumption about time series

data?

• Nothing remains the same.

• With time, everything changes.

• It is always assumed that growth is good.

• Time series data remains constant

Why is it important to analyze time series data?

• Nothing remains the same.

• With time, everything changes.

• It is always assumed that growth is good, and the economy

  becomes better.

• Growth is not necessarily always good.

What is the purpose of secular trend

analysis in time series data?

• To calculate correlation coefficients.

• To find a regression line.

• To draw a scattered diagram.

• To analyze cyclical patterns.

In time series analysis, what serves as the

independent variable when analyzing the secular trend?

• Correlation coefficient.

• Scattered diagram.

• Time.

• Regression line.

How can secular trend (T) be solved

numerically using a linear equation in time series

analysis?

• Calculate the correlation coefficient.

• Draw a scattered diagram.

• Find the regression line.

• Analyze cyclical patterns.

When does the linear model become

inadequate for describing the change in a variable (y)

over time in time series analysis?

• When the data set is small.

• When the correlation coefficient is high.

• When the linear model is not used.

• When the linear model does not adequately describe

  the change.

What type of curve is used to overcome the

inadequacy of the linear model in time series analysis?

• Hyperbolic curve.

• Parabolic curve.

• Straight line.

• Sine wave.

How is a second-degree trend

(curvilinear trend) solved numerically in time series

analysis?

• By fitting a straight line.

• By using the linear model.

• By drawing a scattered diagram.

• By using a parabolic equation.

What characterizes cyclic variation in time

series data?

• It is a component that repeats within each year.

• It is a component that remains constant over time.

• It is a component that tends to oscillate above and

  below the secular trend line for periods longer than a

  year.

• It is a component that is completely irregular.