Making Predictions and Analyzing Trends with Scatter Plots

A scatter plot shows the relationship between hours studied and test scores for 10 students. If a student studies for 5 hours, what score would you predict they might achieve based on the trend?

• 50

• 75

• 90

• 60

In a scatter plot depicting the number of hours spent on social media versus grades, the trend shows that as social media usage increases, grades tend to decrease. What prediction can you make about a student who spends 4 hours on social media?

• The student is likely to have lower grades.

• The student will likely have higher grades.

• The student's grades will remain unchanged.

• The student will excel in their studies.

A scatter plot illustrates the relationship between the temperature in degrees Fahrenheit and the number of ice cream cones sold. If the temperature rises to 90°F, how many cones would you predict will be sold based on the data?

• 100 cones

• 200 cones

• 150 cones

• 75 cones

The scatter plot of a city's population growth over the last decade shows a steady increase. If the trend continues, what would be the predicted population in 5 years?

• The population will remain the same over the next 5 years.

• The predicted population in 5 years is based on the current population and growth rate.

• The predicted population is irrelevant to the current growth rate.

• The population will decrease in 5 years.

In a scatter plot showing the relationship between the amount of rainfall and the number of umbrellas sold, what trend can you identify? How would you use this trend to predict umbrella sales during a rainy month?

• Umbrella sales decrease as rainfall increases.

• Umbrella sales are likely to increase with higher rainfall during a rainy month.

• Umbrella sales are highest during dry months.

• Rainfall has no effect on umbrella sales.

A scatter plot displays the correlation between the distance traveled by a car and the amount of fuel used. If a car travels 300 miles, how much fuel would you predict it has consumed based on the trend?

• 20 gallons

• 10 gallons

• 5 gallons

• 15 gallons

The scatter plot of students' heights versus their ages shows a positive correlation. If a new student is 12 years old, what height would you predict for them based on the existing data?

• Approximately 140 cm

• Approximately 160 cm

• Approximately 150 cm

• Approximately 130 cm

In a scatter plot showing the relationship between the number of books read and the scores on a reading comprehension test, what trend do you observe? How might this trend help in predicting future test scores?

• No correlation between the number of books read and reading comprehension test scores.

• An increase in books read leads to lower reading comprehension test scores.

• A positive correlation between the number of books read and reading comprehension test scores.

• A negative correlation between the number of books read and reading comprehension test scores.

A scatter plot indicates that as the number of hours of exercise increases, the body mass index (BMI) tends to decrease. If a person exercises for 3 hours a week, what can you predict about their BMI?

• The BMI will definitely be higher than average.

• The BMI is likely to be lower than that of someone who exercises less.

• The BMI will remain unchanged regardless of exercise.

• The BMI will increase significantly with 3 hours of exercise.

The scatter plot of monthly sales versus advertising budget shows a positive correlation. If a company increases its advertising budget by $1,000, how much of an increase in sales would you predict based on the trend?

• $10,000

• $2,000

• $5,000

• $1,000