For saplings, a least-squares line predicts height in centimeters from age in months: $\hat{y}=12+4.5x$. The ages in the data covered 3 to 24 months. Predict the height of a 16-month sapling.

A line predicts 5-km race time in minutes from training kilometers per week: $\hat{y}=31-0.08x$. The data used 10 to 60 km/week. A coach predicts for 120 km/week. What specific statistical problem makes this use weak?

A line predicts backpack mass in kilograms from number of notebooks: $\hat{y}=1.2+0.45x$. The data ranged from 1 to 9 notebooks. It is used for 6, 12, 0, or 6 notebooks. Which prediction is in range and correct?

A clinic model predicts wait time in minutes from the number of patients ahead: $\hat{y}=6+4x$. The data included 0 to 12 patients ahead. Predict the wait when 7 patients are ahead.

A line predicts fish mass in grams from fish length in centimeters: $\hat{y}=-40+18x$. The fish lengths used to fit it were 8 to 28 cm. A biologist predicts for a 60-cm fish. What is wrong with that prediction?

A teacher predicts quiz score in points from study time in hours using $\hat{y}=62+5x$. Study times in the data ran from 1 to 8 hours. Predict the score for a student who studied 6 hours.

A line predicts aquarium plant height in centimeters from weeks after planting: $\hat{y}=4+1.8x$. The data ranged from 2 to 10 weeks. It is used for 8, 14, 1, or 8 weeks. Which prediction is in range and correct?

A school line predicts daily electricity use in kilowatt-hours from outdoor temperature in degrees Celsius: $\hat{y}=420+11x$. Temperatures in the data were 5 to 32 °C. The school predicts for 45 °C. What is the problem?

A bakery predicts loaf mass in grams from baking time in minutes with $\hat{y}=210+7x$. Baking times in the data ranged from 10 to 30 minutes. Predict the mass for an 18-minute bake.

A city line predicts bus riders per trip from fare in dollars: $\hat{y}=520-60x$. Fares in the data ranged from $1 to $5. A planner predicts riders for a $12 fare. What is wrong with this use?

A cafeteria model predicts food waste in kilograms from lunches sold: $\hat{y}=12+0.03x$. The data ranged from 200 to 600 lunches. It is used for 450, 800, 100, or 450 lunches. Which prediction is in range and correct?

A taxi company predicts fare in dollars from trip length in kilometers using $\hat{y}=3+1.8x$. Trip lengths in the data were 1 to 20 km. Predict the fare for a 12-km trip.

A pediatric line predicts child height in centimeters from age in months: $\hat{y}=65+0.7x$. The data came from ages 12 to 48 months. A report predicts height at 120 months. What is wrong?

A pool model predicts water volume in liters from filling time in minutes: $\hat{y}=120+35x$. Filling times in the data ran from 2 to 15 minutes. Predict the volume after 9 minutes.

A cycling model predicts energy used in kilojoules from riding time in minutes: $\hat{y}=50+18x$. The data ranged from 10 to 60 minutes. It is used for 40, 90, 5, or 40 minutes. Which prediction is in range and correct?

A farm line predicts yield in kilograms per plot from fertilizer in grams per square meter: $\hat{y}=18+0.25x$. Fertilizer amounts in the data were 0 to 80 g/m². A farmer predicts for 200 g/m². What is wrong?

A garden line predicts flower blooms from number of plants: $\hat{y}=5+2.5x$. The data used gardens with 4 to 20 plants. Predict the number of blooms for a garden with 14 plants.

A line predicts soil temperature in degrees Celsius from air temperature in degrees Celsius: $\hat{y}=6+0.7x$. Air temperatures in the data ranged from 5 to 30 °C. It is used for 20, 40, -5, or 20 °C. Which prediction is in range and correct?

A lab line predicts algae count from light hours per day: $\hat{y}=30+14x$. The data used 2 to 12 hours of light. A student predicts the count for 20 hours of light. What is wrong?

A library line predicts pages read from reading time in minutes: $\hat{y}=8+1.6x$. Reading times in the data ranged from 10 to 50 minutes. Predict pages read in 35 minutes.