The ratio of the waist measurement to hip measurement is and he is in the **high risk of cardiovascular problems.**

**Further explanation:**

The **ratio** is a **quantitative relation** between two amounts.

The ratio can be expressed in the form of , where and are the** real numbers**.

The ratio can be written in the form of fraction as where is divided by .

**Given:**

Kevin’s waist measurement is and hip measurement is less than the waist measurement.

**Calculation:**

**Step 1:**

First we have to find Kevin’s hip measurement.

Kevin’s hip measurement is less than the waist measurement which is .

Therefore, subtract the value from to obtain the hip measurement.

It can be mathematically expressed as follows:

**Step 2:**

Now, we calculate Kevin’s **WHR**.

The ratio of waist measurement to hip measurement denoted as **“WHR”**.

The value of **WHR** can be expressed as follows:

…… (1)

Substitute the value of waist measurement and hip measurement in the equation (1).

The value of **WHR** is .

The waist to hip ratio** (WHR)** is used to predict the cardiovascular problems in both men and women.

The ratio should not be greater than otherwise the person would be considered in the high risk of the cardiovascular problems.

The waist to hip ratio **(WHR)** of Kevin is greater than .

Therefore, Kevin is in the high risk of cardiovascular problems.

Thus, the ratio of the waist measurement to hip measurement is and he is in the **high risk of cardiovascular problems.**

**Learn more:**

**1.** Learn more about the graph of the function brainly.com/question/1952668

**2.** Learn more about the values of the underlined digit by comparing brainly.com/question/120717

**3.** Learn more about Solve the equations for the variable brainly.com/question/1682776

**Answer details:**

**Grade:** Junior school

**Subject:** Mathematics

**Chapter:** Ratio and Proportion

**Keywords:** Ratio, proportion, WHR, cardiovascular problems, waist measurement, hip measurement, men, women, high risk, predictor, decimal, problems, amount, fraction, real numbers, Kevin, good predictor.