Identify the Components of Simple Linear Regression Models and Discuss

question 49

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) .
Following is an extract from the database of a construction company. The table shows the height of walls in feet and the cost of raising them. The estimated simple linear regression equation is given as Ŷ = b0 + b1X. (Hint: Use Excel functions) . $$\begin{array} { | l | l | } \hline\begin{array} { l } \text { Height } \\\text { (ft) }\end{array} & \text { Cost (\$) } \\\hline 4 & 670 \\\hline 3 & 430 \\\hline 7 & 810 \\\hline 9 & 1100 \\\hline 6 & 790 \\\hline 8 & 880 \\\hline 5 & 760 \\\hline 11 & 1200 \\\hline\end{array}$$
-Which of the following is true about Excel outputs Multiple R?

• A) It is often referred to as the coefficient of determination.
• B) A value of 0 indicates positive correlation.
• C) A negative slope of the regression line denotes a positive Multiple R.
• D) It is another name for the sample correlation coefficient, r.

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Definitions:

Similar Substitutes

Products or services that satisfy the same needs or desires and can be used in place of one another.

Differentiated Products

Goods and services that are distinguished from similar products by characteristics like quality, design, performance, and branding.

Monopolistic Competition

A market structure characterized by many firms selling products that are substitutes but differentiated from each other, leading to some degree of market power.

Easy Entry And Exit

A characteristic of competitive markets where firms can freely enter or leave the market with minimal barriers, ensuring competitive prices and efficiency.