The Following MINITAB Output Presents the Least Squares Regression Line $$\text { Commodity }=85.175996+1.11437 \text { Oil }$$

question 4

Multiple Choice

The following MINITAB output presents the least squares regression line for predicting the price of a certain commodity from the price of a barrel of oil.

The regression equation is
$$\text { Commodity }=85.175996+1.11437 \text { Oil }$$
$\begin{array}{lrrrr}\text { Predictor } & \text { Coef } & \text { SE Coef } & \text { T } & \text { P } \\\text { Constant } & 85.175996 & 67.294333 & 1.265723 & 0.274315 \\\text { Oil } & 1.11437 & 0.666536 & 1.671882 & 0.169866\end{array}$

Write the equation of the least-squares regression line.

• A) \(y = 85.175996 + 1.11437 x\)
• B) \(y = 1.265723 + 1.671882 x\)
• C) \(y = 0.274315 + 0.169866 x\)
• D) \(y = 1.11437 + 85.175996 x\)

---

Definitions:

Connectives

Logical operators that connect propositions in logic, such as "and," "or," "if...then," and "not," used to form compound sentences.

Main Connective

The main connective in a logical expression is the connective that determines the truth value of the entire expression, essentially holding the highest priority in its structure.

Symbolic Notation

A system of symbols used to represent numbers, quantities, elements, operations, or concepts.

Atomic Statements

Simple declarations about properties or relationships between entities that cannot be further broken down into more fundamental statements.