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:

Mucosa

Mucosa refers to the moist, inner lining of some organs and body cavities, such as the nose, mouth, lungs, and digestive tract, involved in absorption and secretion.

Visceral Peritoneum

The inner layer of the peritoneum that covers the external surfaces of most abdominal organs.

Healthiest Sources

Healthiest sources generally refer to the most nutritionally beneficial and minimally processed foods or components in a diet that contribute to overall well-being.

Protein

Large molecules composed of one or more long chains of amino acids, essential as structural components of body tissues and as enzymes and antibodies.