For 36 farms, fertilizer applied in kg/ha and wheat yield in metric tons/ha have $r=0.72$. How should this correlation be described?

For 28 students, screen time in hours per day and sleep in hours per night have $r=-0.64$. What description fits this value?

For 45 city blocks, street-tree count and afternoon temperature in °C have $r=-0.81$. How is that correlation best described?

For 30 runners, weekly training distance in km and 5 km race time in minutes have $r=-0.88$. What does this value describe?

For 50 homes, floor area in m² and monthly electricity use in kWh have $r=0.39$. What is the best description?

For 40 lakes, depth in meters and surface temperature in °C have $r=-0.12$. What does this value show?

For 32 school lunches, sodium in mg and calories in kcal have $r=0.56$. How should the correlation be described?

For 27 rechargeable batteries, age in months and charge capacity percent have $r=-0.93$. What description is accurate?

For 38 buses, route length in km and fuel used in liters have $r=0.95$. How is this value described?

For 34 plants, height in cm and leaf count have $r=0.05$. What does this value suggest?

The scatterplot shows parcel weight in kilograms and shipping cost in dollars for 12 parcels. Which value of $r$ is most plausible?

The scatterplot shows bike age in months and resale price in dollars for 12 used bikes. Which value of $r$ is most plausible?

The scatterplot shows study time in hours and quiz score percent for 12 students. Which value of $r$ is most plausible?

The scatterplot shows daily temperature in °C and soup sales in bowls for 12 days. Which value of $r$ is most plausible?

The scatterplot shows foot length in cm and math test score percent for 12 students. Which value of $r$ is most plausible?

The scatterplot shows commute distance in km and commute time in minutes for 12 teachers. Which value of $r$ is most plausible?

The scatterplot shows practices attended and goals scored for 12 soccer players. Which value of $r$ is most plausible?

The scatterplot shows soil moisture percent and dust level in µg/m³ for 12 sites. Which value of $r$ is most plausible?

For the same 50 towns, median income in dollars and life expectancy in years have $r=0.62$; income and commute time in minutes have $r=-0.71$. Which relationship is stronger?

For 42 athletes, height in cm and vertical jump in cm have $r=0.48$; height and 100 m sprint time in seconds have $r=0.30$. Which linear relationship is stronger?

For 35 schools, class size in students and mean test score percent have $r=-0.41$; library spending in dollars per student and score have $r=0.38$. Which relationship is stronger?

For 60 apartments, distance to the subway in km and rent in dollars have $r=-0.76$; floor area in m² and rent have $r=0.84$. Which relationship is stronger?

For 28 gardens, sunlight hours per day and tomato yield in kg have $r=0.90$; water in liters per week and yield have $r=-0.90$. Which relationship is stronger?

For 44 cars, engine size in liters and fuel use in L/100 km have $r=0.69$; engine size and acceleration time in seconds have $r=-0.69$. Which relationship is stronger?

For 52 patients, exercise minutes per week and resting heart rate in bpm have $r=-0.58$; sodium intake in mg/day and blood pressure have $r=0.57$. Which relationship is stronger?

For 60 town fires, trucks sent and damage in dollars have $r=0.81$. What statement should a statistician avoid making from this value alone?

For 75 students, backpack mass in kg and back-pain score have $r=0.52$. What claim is not justified by this correlation alone?

For 48 neighborhoods, ice cream sales in dollars and drowning incidents have $r=0.73$. What conclusion should not be drawn from $r$ alone?

For 40 farms, pesticide use in kg/ha and insect damage percent have $r=-0.68$. What statement should not be made from this value alone?

For 32 clinics, nurse staffing per 100 patients and wait time in minutes have $r=-0.79$. What should not be concluded from this value alone?

For 55 homes, distance from the city center in km and sale price in dollars have $r=-0.44$. What claim goes beyond what $r$ alone supports?

For 70 athletes, shoe size in cm and running speed in m/s have $r=0.08$. What claim is not supported by this value?

For 46 factories, safety-training hours and injury rate per 100 workers have $r=-0.62$. What conclusion is not licensed by $r$ alone?

For 25 plants, height in cm and age in days have $r=0.84$. The botanist rewrites every height in meters and recomputes the correlation. What is the new value of $r$?

For 18 boxes, mass in grams and shipping cost in dollars have $r=0.76$. An analyst swaps the axes and computes the correlation of cost with mass. What is the new value of $r$?

For 30 classrooms, indoor temperature in °C and electricity use in kWh have $r=0.67$. The engineer converts every temperature to kelvins. What is the new value of $r$?

For 30 days, pollution concentration in µg/m³ and visibility in km have $r=-0.82$. A researcher multiplies every pollution value by -1 before recomputing with visibility. What is the new $r$?

For 40 students, study time in hours and test score percent have $r=0.71$. The teacher records each score as a proportion instead of a percent. What is the new value of $r$?

For 25 lakes, depth in meters and water temperature in °C have $r=-0.60$. A report swaps which variable is listed first and recomputes correlation. What is the new value of $r$?

For 36 machines, age in years and output rate in parts per hour have $r=-0.74$. A technician reports age in months instead of years. What is the new value of $r$?