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What is the relationship between the two variables represented in the table?

\begin{tabular}{|c|c|}
\hline Height of People [tex]$( cm )$[/tex] & Shoe Size \\
\hline 170 & 8.5 \\
\hline 172 & 9 \\
\hline 174 & 9.5 \\
\hline 176 & 10 \\
\hline 178 & 11 \\
\hline
\end{tabular}

A. positive linear association with no deviations

B. exponential relationship

C. negative linear association

D. no relationship

E. positive linear association with one deviation


Sagot :

To determine the relationship between the height of people and their shoe sizes, let's analyze the data shown in the table:

[tex]\[ \begin{array}{|c|c|} \hline \text{Height of People }( \text{cm} ) & \text{Shoe Size} \\ \hline 170 & 8.5 \\ 172 & 9 \\ 174 & 9.5 \\ 176 & 10 \\ 178 & 11 \\ \hline \end{array} \][/tex]

### Step-by-Step Analysis:

1. Observation of Trends:
- As the height increases, the shoe size also increases.

2. Linear Relationship Check:
- We can look to see if the increase in height corresponds to a proportional increase in shoe size.
- Height increases are consistent: each step between heights is by 2 cm (170, 172, 174, 176, 178).
- Shoe size increases appear consistent too:
- From 8.5 to 9: an increase of 0.5
- From 9 to 9.5: an increase of 0.5
- From 9.5 to 10: an increase of 0.5
- From 10 to 11: an increase of 1

3. Correlation Estimation:
- Since both variables increase together and the pattern appears steady without any sudden dips or drops that would denote deviations, this points towards a consistent trend.

4. Conclusion:
- The relationship is positive, as both variables tend to increase together.
- It is linear, given the consistent incremental pattern observed.
- There are no deviations from this pattern in the table provided.

From the observations and analysis, the correct answer is:

A. positive linear association with no deviations