Instruction 12 $\text { Regression Statistics }$ -Referring to Instruction 12

question 103

Multiple Choice

Instruction 12.6
The following Microsoft Excel tables are obtained when 'Score received on an exam (measured in percentage points) ' (Y) is regressed on 'percentage attendance' (X) for 22 students in a Statistics for Business and Economics course.
$\text { Regression Statistics }$
$\begin{array}{|l|l|}\hline \text { MultipleR } & 0.142620229 \\\hline \text { R Square } & 0.02034053 \\\hline \begin{array}{l}\text { Adjusted R } \\\text { Square }\end{array} & -0.028642444 \\\hline \text { Standard Error } & 20.25979924 \\\hline \text { Observations } & 22 \\\hline\end{array}$

$\begin{array}{|l|l|l|l|l|}\hline & \text { Coefficients } & \begin{array}{l}\text { Standard } \\\text { Error }\end{array} & t \text { Stat } & p \text {-value } \\\hline \text { Intercept } & 39.39027309 & 37.24347659 & 1.057642216 & 0.302826622 \\\hline \text { Attendance } & 0.340583573 & 0.52852452 & 0.644404489 & 0.526635689 \\\hline\end{array}$
-Referring to Instruction 12.6,which of the following statements is true?

• A) If attendance increases by 1%, the estimated mean score received will increase by 39.39 percentage points.
• B) If attendance increases by 0.341%, the estimated mean score received will increase by 1 percentage point.
• C) If the score received increases by 39.39%, the estimated mean attendance will go up by 1%.
• D) If attendance increases by 1%, the estimated mean score received will increase by 0.341 percentage points.

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Definitions:

Objective Statement

A brief statement that clearly expresses the goals and objectives of an individual or organization.

Realistic Component

An element or aspect that adds a sense of realism or authenticity to a scenario, project, or simulation.

Effective Objectives

Clearly defined goals that are measurable, achievable, relevant, and time-bound, directing strategic actions.

Time-Specific Component

An element or feature of a plan or project that is contingent upon or defined by a particular time frame.