WJEC Further Unit 2 2019 June — Question 6 6 marks

Exam BoardWJEC
ModuleFurther Unit 2 (Further Unit 2)
Year2019
SessionJune
Marks6
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicLinear regression
TypeAssess model appropriateness from context
DifficultyModerate -0.3 Part (a) requires identifying limitations from a scatter diagram (non-linearity, outliers, heteroscedasticity) which is straightforward pattern recognition. Part (b) is a standard calculation using given summary statistics and the regression formulas—purely mechanical application of formulae with no conceptual challenge. This is easier than average for Further Maths statistics.
Spec5.09a Dependent/independent variables5.09b Least squares regression: concepts5.09c Calculate regression line

6. The University of Arizona surveyed a large number of households. One purpose of the survey was to determine if annual household income could be predicted from size of family home. The graph of Annual household income, \(y\), versus Size of family home, \(x\), is shown below. \includegraphics[max width=\textwidth, alt={}, center]{4ecf99c5-c4b3-41b7-a8df-a7c2ca7fcd6a-5_616_1257_566_365}
  1. State the limitations of using the regression line above with reference to the scatter diagram. The data for size of family homes between 2000 and 3000 square feet are shown in the diagram below. \includegraphics[max width=\textwidth, alt={}, center]{4ecf99c5-c4b3-41b7-a8df-a7c2ca7fcd6a-5_652_1244_1516_360} Summary statistics for these data are as follows. $$\begin{array} { r c c } \sum x = 93160 & \sum y = 3907142 & n = 37 \\ S _ { x x } = 2869673.03 & S _ { y y } = 44312797167 & S _ { x y } = 348512820 \cdot 6 \end{array}$$
  2. Calculate the equation of the least squares regression line to predict Annual household income from Size of family home for these data.

Question 6:
AnswerMarks Guidance
6Total 869
Question 6:
6 | Total | 869 | 869
6. The University of Arizona surveyed a large number of households. One purpose of the survey was to determine if annual household income could be predicted from size of family home.

The graph of Annual household income, $y$, versus Size of family home, $x$, is shown below.\\
\includegraphics[max width=\textwidth, alt={}, center]{4ecf99c5-c4b3-41b7-a8df-a7c2ca7fcd6a-5_616_1257_566_365}
\begin{enumerate}[label=(\alph*)]
\item State the limitations of using the regression line above with reference to the scatter diagram.

The data for size of family homes between 2000 and 3000 square feet are shown in the diagram below.\\
\includegraphics[max width=\textwidth, alt={}, center]{4ecf99c5-c4b3-41b7-a8df-a7c2ca7fcd6a-5_652_1244_1516_360}

Summary statistics for these data are as follows.

$$\begin{array} { r c c } 
\sum x = 93160 & \sum y = 3907142 & n = 37 \\
S _ { x x } = 2869673.03 & S _ { y y } = 44312797167 & S _ { x y } = 348512820 \cdot 6
\end{array}$$
\item Calculate the equation of the least squares regression line to predict Annual household income from Size of family home for these data.
\end{enumerate}

\hfill \mbox{\textit{WJEC Further Unit 2 2019 Q6 [6]}}