IDNLearn.com: Your one-stop destination for reliable answers to diverse questions. Whether your question is simple or complex, our community is here to provide detailed and trustworthy answers quickly and effectively.

Select the correct answer.

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