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Use the Computer Display to Answer the Question  Score =31.55+10.90 Years. \text { Score }=31.55+10.90 \text { Years. }

question 152

Multiple Choice

Use the computer display to answer the question.
-A collection of paired data consists of the number of years that students have studied Spanish and their scores on a Spanish language proficiency test. A computer program was used to obtain the least squares linear
Regression line and the computer output is shown below. Along with the paired sample data, the program was
Also given an x value of 2 (years of study) to be used for predicting test score.
The regression equation is  Score =31.55+10.90 Years. \text { Score }=31.55+10.90 \text { Years. }

 Predictor  Coef  StDev  T  P  Constant 31.556.3604.960.000 Years 10.901.7446.250.000\begin{array}{lcccc}\text { Predictor } & \text { Coef } & \text { StDev } & \text { T } & \text { P } \\\text { Constant } & 31.55 & 6.360 & 4.96 & 0.000 \\\text { Years } & 10.90 & 1.744 & 6.25 & 0.000\end{array}


S=5.651RSq=83.0%RSq(Adj) =82.7%\mathrm{S}=5.651 \quad \mathrm{R}-\mathrm{Sq}=83.0 \% \quad \mathrm{R}-\mathrm{Sq}(\mathrm{Adj}) =82.7 \%

 Predicted values \text { Predicted values }

 Use the computer display to answer the question. -A collection of paired data consists of the number of years that students have studied Spanish and their scores on a Spanish language proficiency test. A computer program was used to obtain the least squares linear Regression line and the computer output is shown below. Along with the paired sample data, the program was Also given an x value of 2 (years of study)  to be used for predicting test score. The regression equation is  \text { Score }=31.55+10.90 \text { Years. }    \begin{array}{lcccc} \text { Predictor } & \text { Coef } & \text { StDev } & \text { T } & \text { P } \\ \text { Constant } & 31.55 & 6.360 & 4.96 & 0.000 \\ \text { Years } & 10.90 & 1.744 & 6.25 & 0.000 \end{array}     \mathrm{S}=5.651 \quad \mathrm{R}-\mathrm{Sq}=83.0 \% \quad \mathrm{R}-\mathrm{Sq}(\mathrm{Adj}) =82.7 \%    \text { Predicted values }      What percentage of the total variation in test scores is unexplained by the linear relationship between years of Study and test scores? A)  83.0% B)  82.7% C)  17.0% D)  8.9%
What percentage of the total variation in test scores is unexplained by the linear relationship between years of
Study and test scores?


Definitions:

Vertical Axis

In graphing, the y-axis upon which variables or values are plotted, typically representing dependent measurements in a chart or graph.

Real Salary

The purchasing power of an individual's income, taking into account the effect of inflation on spending power.

Nominal Salary

The amount of money earned by an employee before any deductions or adjustments for inflation.

Goods and Services

Physical products (goods) and intangible benefits (services) that fulfill consumers' needs or desires.

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