Identify the Components of Simple Linear Regression Models and Discuss

question 16

Multiple Choice

Identify the components of simple linear regression models and discuss their applications Use the data given below to answer the following question(s) .
The worldwide sales of cars from 1981-1990 are shown in the table below. Given: α = 0.2 and β
= 0.15 (Hint: Use XLMiner) $$\begin{array} { | c | c | } \hline \text { Year } & \begin{array} { c } \text { Units sold in } \\\text { thousands }\end{array} \\\hline 1981 & 888 \\\hline 1982 & 900 \\\hline 1983 & 1000 \\\hline 1984 & 1200 \\\hline 1985 & 1100 \\\hline 1986 & 1300 \\\hline 1987 & 1250 \\\hline 1988 & 1150 \\\hline 1989 & 1100 \\\hline 1990 & 1200 \\\hline\end{array}$$
-Using the double exponential smoothing, calculate the value of the mean absolute deviation for the given data.

• A) 8.10
• B) 1.80
• C) 91.27
• D) 11976.17

---

Definitions:

Difference-In-Difference

An estimator that identifies the causal effect of a treatment, like a special promotion, by comparing the periods before and after the treatment between an experimental group and a control group. The second difference is designed to remove selection bias.

Price Change

A fluctuation in the market value of goods or services.

Lost Profits

The amount of money a business fails to earn due to disruptions, such as contractual breaches, acts of negligence, or other causes.

Expected Success

The anticipated probability or degree of achievement in a given venture or for a particular outcome.