Classify the following variables according to their type and measure, following the scheme below:
$$
\begin{array}{ll}
\hline \text { METRIC VARIABLES } & \\
\text { Discrete } & \text { (MD) } \\
\text { Continuous } & \text { (MC) } \\
\text { NON-METRIC VARIABLES } & \\
\begin{array}{l}
\text { Nominal } \\
\text { Ordinal }
\end{array} & \text { (NN) } \\
\hline
\end{array}
$$
And indicate the corresponding classification in SPSS (Scale, Nominal or Ordinal)
$$
\begin{array}{lll}
\hline \text { Variable } \quad \text { Example of measurements } & \text { Classification } & \begin{array}{l}
\text { SPSS } \\
\text { classification }
\end{array} \\
\hline
\end{array}
$$
$$
\begin{array}{|c|c|c|c|}
\hline \begin{array}{l}
\text { Price of a laptop } \\
\text { Job }
\end{array} & \begin{array}{l}
\$ 1300.00 ; \$ 1098.22 ; \$ 2000.00 \\
\text { Bus driver; Marketing consultant; } \\
\text { Singer }
\end{array} & \begin{array}{l}
\mathrm{MC} \\
\mathrm{NN}
\end{array} & \begin{array}{l}
\text { Scale } \\
\text { Nominal }
\end{array} \\
\hline \text { Education level } & \begin{array}{l}
\text { Higher education degree, High } \\
\text { School Diploma }
\end{array} & \text { NO } & \text { Ordinal } \\
\hline \text { Monthly income } & \$ 7000 ; \$ 3000 ; \$ 4112 & & \\
\hline \begin{array}{l}
\text { Monthly income } \\
\text { bracket }
\end{array} & \begin{array}{c}
1=[0, \$ 2000] ; 2=[\$ 2001, \$ 5000] ; \\
3=[\text { more than } \$ 5000]
\end{array} & & \\
\hline \begin{array}{l}
\text { Customer } \\
\text { satisfaction }
\end{array} & \begin{array}{l}
1 \text { to } 7 \text { where } 1=\text { completely } \\
\text { unsatisfied; } 7=\text { completely satisfied }
\end{array} & & \\
\hline \begin{array}{l}
\text { Perceived risk of } \\
\text { skying }
\end{array} & \begin{array}{l}
1 \text { to } 10 \text { where } 1=\text { not risky at all; } \\
10=\text { extremely risky }
\end{array} & & \\
\hline \begin{array}{l}
\text { Ranking of } \\
\text { preferred hobbies }
\end{array} & \begin{array}{l}
\text { 1) Reading; 2) Playing baseball; } \\
\text { 3) Gardening }
\end{array} & & \\
\hline \begin{array}{l}
\text { Amount of water } \\
\text { drank in a day }
\end{array} & 2.3 \text { liters; } 1 \text { liter; } 5 \text { liters } & & \\
\hline \begin{array}{l}
\text { Days off work over } \\
\text { the last month }
\end{array} & 12 \text { days; } 6 \text { days; } 8 \text { days } & & \\
\hline \begin{array}{l}
\text { Number of words in } \\
\text { a document }
\end{array} & \begin{array}{l}
1319 \text { words; } 5412 \text { words; } 1000 \\
\text { words }
\end{array} & & \\
\hline \begin{array}{l}
\text { Time spent walking } \\
\text { yesterday }
\end{array} & \begin{array}{l}
38 \text { minutes; } 12 \text { minutes and } \\
40 \text { seconds; } 15 \text { minutes and } \\
20 \text { seconds }
\end{array} & & \\
\hline \begin{array}{l}
\text { Number of SMS sent } \\
\text { last month }
\end{array} & 18 ; 12 ; 15 ; 31 & & \\
\hline
\end{array}
$$
$$
\begin{array}{|c|c|c|c|}
\hline \text { Variable } & \text { Example of measurements } & \text { Classification } & \begin{array}{l}
\text { SPSS } \\
\text { classification }
\end{array} \\
\hline
\end{array}
$$
$$
\begin{array}{ll}
\hline \text { Phone bill } & £ 41 ; £ 32 ; £ 55 \\
\text { Weather today } & \text { Sunny; Rain; Snow } \\
\begin{array}{c}
\text { Preferred mean of } \\
\text { transport to work }
\end{array} & \text { Bike; Walking; Car; } \\
\text { Telephone number } & \begin{array}{c}
0044-123-456789 ; 0039-987- \\
654321
\end{array} \\
\hline
\end{array}
$$