TABLE 14-16
the Superintendent of a School District Wanted to Predict

question 7

Multiple Choice

TABLE 14-16
The superintendent of a school district wanted to predict the percentage of students passing a sixth-grade proficiency test. She obtained the data on percentage of students passing the proficiency test (% Passing) , daily average of the percentage of students attending class (% Attendance) , average teacher salary in dollars (Salaries) , and instructional spending per pupil in dollars (Spending) of 47 schools in the state.
Following is the multiple regression output with Y = % Passing as the dependent variable, X₁ = % Attendance, X₂ = Salaries and
X₃ = Spending:
$\begin{array}{lr}\hline\text {Regression Statistics } \\\hline \text {Multiple R }& 0.7930 \\\text {R Square} & 0.6288 \\\text {Adjusted R Square} & 0.6029 \\\text {Standard Error }& 10.4570 \\\text {Observations }& 47 \\\hline\end{array}$


ANOVA
$\begin{array}{lccccc}\hline &\text { d f } &\text { SS }& \text { MS }& \text { F } & \text { Significance F} \\\hline \text { Regression }& 3 & 7965.08 & 2655.03 & 24.2802 & 2.3853 \mathrm{E}-09 \\\text { Residual} & 43 & 4702.02 & 109.35 & & \\\text { Total }& 46 & 12667.11 & & & \\\hline\end{array}$

$\begin{array}{lrrrrrr}\hline &\text { Coeffs} & \text { Stnd Err} &\text { t Stat} &\text { p -value }&\text { Lower 95\%} \text { Upper 95\%} \\\hline\text { Intercept }& -753.4225 & 101.1149 & -7.4511 & 2.88 \mathrm{E}-09 & -957.3401 & -549.5050 \\\%\text { Attend }& 8.5014 & 1.0771 & 7.8929 & 6.73 \mathrm{E}-10 & 6.3292 & 10.6735 \\\text { Salary} & 6.85 \mathrm{E}-07 & 0.0006 & 0.0011 & 0.9991 & -0.0013 & 0.0013 \\\text { Spending }& 0.0060 & 0.0046 & 1.2879 & 0.2047 & -0.0034 & 0.0153 \\\hline\end{array}$

-Referring to Table 14-16, which of the following is the correct alternative hypothesis to test whether daily average of the percentage of students attending class has any effect on percentage of students passing the proficiency test?

• A) \( H_{1}: \beta_{1} \neq 0 \)
• B) \( H_{1}: \beta_{0} \neq 0 \)
• C) \( H_{1}: \beta_{2} \neq 0 \)
• D) \( H_{1}: \beta_{3} \neq 0 \)

Discuss the decay hypothesis and the stability of information in short-term memory.

Understand the basic components and functionalities of a database system, including tables, queries, forms, and reports.

Identify and select appropriate data types for fields in tables according to the data they will store.

Utilize forms for data entry, understanding their advantages over datasheet views.

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Definitions:

Tax Revenue

Income that is gained by governments through taxation, used to fund public services and government obligations.

Demand Curve

A graphical representation of the relationship between the price of a good and the quantity demanded, typically downward sloping to the right.

Tax

Mandatory monetary contributions or taxes levied by a government on people or organizations to support government spending.

Buyers

Individuals or entities that purchase goods or services in a market.