# data[].attributes.body
1. Strong Positive Correlation                                          2. Moderate Positive Correlation                                  3. Strong Negative Correlation

# data[].attributes.body
1. Oil prices and Airfares
2. Demand for a product and the product's associated price
3. Temperature and heating bills

# data[].attributes.body
1. The relationship between oil prices and airfares has a very strong positive correlation. If the price of oil decreases, airfares also decrease, and if the price of oil increases, so do the prices of airplane tickets.

2. This moderate positive correlation signifies that the price will rise if demand increases.

3. This strong negative correlation signifies that as the temperature decreases outside, the prices of heating bills increase and vice versa.

# data[].attributes.body
1.The relationship between oil prices and airfares.

2.The longer your hair grows, the more shampoo you will need.

3.The more it rains, the less sales you make, or the less it rains, the more sales you make.

# data[].attributes.body
1.Almost all of the points are on
the line.Closely
scattered on the trend line that
rises from left to right.

2.Moderately scattered rising from right to left.Points are moderately scatterred.

3.Almost all of the points are on
the line.Closely scattered on the trend line that rises from right to left.

# data[].attributes.body
1.  Height and Weight.

2. The more time you spend running on a treadmill, the more calories you will burn.

3. The better rested you feel, the less tired you'll be.

# data[].attributes.body
1. This strong positive correlation   if the height can also increase or decrease therefore,the weight can also increase or decrease.

2. This moderate positive correlation is the more time you spend running also decrease your weight and also your height can increase

3. Getting good sleep, in the right amount, can make a big difference in how you feel. Too little or too much sleep can increase your perception of fatigue.

# data[].attributes.body
Jamaica P. Omo

1.The more gasoline you put in your car, the farther it can go.

2. As the temperature goes up, ice cream sales also go up.

3. The outdoor temperature and heating cost.

# data[].attributes.body
Jamaica P. Omo

1. This are strong positive correlation because if gasoline you put in the car increases, and father it can go also increases, they correspond to each other.

2. This is moderate positive correlation beacuse if the temperature is increases, and the ice cream sales also increases.

3. This are strong negative correlation because it signifies that as the outdoor temperature increases heating cost decreases.

# data[].attributes.body
Marjorie S. De Ramon

1. height and weight.

2. As her salary increased, so did her spending.

3. As you climb the mountain (increase in height) it gets colder (decrease in temperature).

# data[].attributes.body
Marjorie S. De Ramon

1. Variables move in the same direction. Therefore, when one variable increases as the other variable increases, or one variable decreases while the other decreases.

2. This is moderate positive correlation because if her salary is increase, and the one she spend also increase.

3.  It is a relationship between two variables in which an increase in one variable is associated with a decrease in the other.

# data[].attributes.body
1.The faster a jet pilot flies, the higher the G-forces are.

2.Taller people have larger shoe sizes and shorter people have smaller shoe sizes

3.The more food you eat, the less hungry you'll be.

# data[].attributes.body
1.This is stronger positive correlation because if the jet pilot flies faster so that it increase and the higher the g-force are it also increase and they are correspond to each other.

2.This moderate positive correlation signifies that if the height increase the size increase.

3.This relationship between two variables signifies that the more food you eat, the less hungry you'll be and the less food you eat the more hungry you'll be.The one variable increases as the other decreases, and vice versa.

# data[].attributes.body
1. Number of hours of Sleep and Red Blood Cell Counts
2.  Tomato's Price and Demand of Tomato
3. Number of Sales and Rainy Days

# data[].attributes.body
1. The relationship between the Number of hours of Sleep and Red Blood Cell Counts is strong positive correlation. The longer the hours of Sleep, the higher the red blood cell Counts.
2.  The relationship between Tomato's Price and Demand of Tomato is moderate positive correlation. It means that the higher the demand of tomatoes, the higher its price.
3. The relationship between Number of Sales and Rainy Days is strong negative correlation. Because the more it rains, the less sales you will make or the less it rains  the more sales you will make.

# data[].attributes.body
1. Electric consumption and monthly electric bill.
2. Hours spend in direct sunlight and severe sunburn.
3. Works out at the gym and body fat.

# data[].attributes.body
1. This is strong positive correlation because the more hours we use our appliances at home, the higher electricity bill.
2. This is moderate positive correlation  because the more hours you spend in direct sunlight, the more severe your sunburn.
3.This is strong negative correlation because the more one works out the gym, the less body fat one may have.

# data[].attributes.body
Marissa R. Grande
11-ABM

1.  Rain and Umbrella

2. Studend study time and test average

3. Height above sea level and temperature

# data[].attributes.body
Marissa R. Grande

1.The strong positive correlation is the more it rains, the more sales for umbrellas go up.

2.The moderate positive correlation as a student’s study time increases, so does his test average.

3.The strong negative correlaion is that as you climb the mountain (increase in height) it gets colder (decrease in temperature).

# data[].attributes.body
Shalemar C. Guevara
11-ABM

1. Invest and interest

2. Cut trees and erosion

3. The slower you drive in your car,the longer it will take you to reach your destination.

# data[].attributes.body
Shalemar C. Guevara

1. The strong positive correlation is the longer someone invest, the more compound interest he will earn.

2. The moderate positive correlation as the number of trees cut down increases, the probability of erosion increases.

3. This strong negative correlation signifies that the slower you drive the longer it will take to reach your destination.The one variable increases as the other decreases, and vice versa.

# data[].attributes.body
Apelado, Kathlyn Ann L.

1. This is strong positive correlation because saving money can help you become financially secure, providing a safety net of your future and this is correspond to each other because both variable is increased.

2. This moderate Positive Correlation signifies that the more people buy tickets for movies, the amount of money spent on tickets increases. The Both Variables are increased.

3. This is Strong negative correlation signifies that the more cigarettes a person smoke, the less healthy they become. This is strong negative correlation because
Smoking causes cancer, heart disease, stroke, lung diseases, diabetes, and chronic obstructive pulmonary disease (COPD), which includes emphysema and chronic bronchitis, which can also leads a person death.

# data[].attributes.headline
DIZA, BLESSIE MAE LUZANO 11-ABM                                       1. The relationship between the bleeding in your menstruation period and the number of sanitary napkins you used are strong positive correlation because girls with heavier bleeding changed their sanitary pads time by time, and the number of sanitary pads they used increases. While girls with lighter bleeding changed their sanitary pads rarely and the number of sanitary pads they used depends on.               2.The relationship between the more coffee you drink and the number of hours you stay awake are moderate positive correlation because the caffeine blocks the adenosine receptor to keep you from feeling sleepy.                     3.The relationships between more vaccinations and less illness are strong negative correlation because if you are vaccinated for a disease, the lesser your chances are of procuring the same. 

# data[].attributes.subject
DIZA, BLESSIE MAE LUZANO 11-ABM                                       1. The relationship between the bleeding in your menstruation period and the number of sanitary napkins you used are strong positive correlation because girls with heavier bleeding changed their sanitary pads time by time, and the number of sanitary pads they used increases. While girls with lighter bleeding changed their sanitary pads rarely and the number of sanitary pads they used depends on.               2.The relationship between the more coffee you drink and the number of hours you stay awake are moderate positive correlation because the caffeine blocks the adenosine receptor to keep you from feeling sleepy.                     3.The relationships between more vaccinations and less illness are strong negative correlation because if you are vaccinated for a disease, the lesser your chances are of procuring the same. 

# data[].attributes.body
1. snow and deceirs sales.

2. amount of time spend in the bath and wrinkly skin.

3. man and hair.

# data[].attributes.body
1. this is strong positive correlation because as it snows more, the sales for deceirs go up.

2. this is moderate positive correlation because the longer amount you spend in the bath, the more wrinkly your skin becomes.

3. this is strong negative correlation because the older a man gets, the less hair that he has.

# data[].attributes.body
Apelado, Kathlyn Ann L.

1.The more money you will save, the more financially secure you feels.
2. Tickets and money.
3. Cigarettes and Health.

# data[].attributes.headline
DIZA, BLESSIE MAE LUZANO   11-ABM                                       1. The number of sanitary napkins you used depends on the bleeding in your menstruation period.                               2. As you drink more coffee, the number of hours you stay awake increases.             3.More vaccinations, less illness.     

# data[].attributes.subject
DIZA, BLESSIE MAE LUZANO   11-ABM                                       1. The number of sanitary napkins you used depends on the bleeding in your menstruation period.                               2. As you drink more coffee, the number of hours you stay awake increases.             3.More vaccinations, less illness.     