For 10 school cafeterias, the correlation between daily lunch price in dollars and lunches sold is $r=-0.60$. Find $r^2$ for this model.

A study of 14 plants finds the correlation between fertilizer used in grams and plant height in centimeters is $r=0.80$. What is $r^2$?

For 18 city buses, the correlation between bus age in years and fuel efficiency in kilometers per liter is $r=-0.50$. Find $r^2$.

A regression for 16 runners gives correlation $r=0.90$ between weekly training kilometers and race speed in meters per second. What is $r^2$?

For 12 backpacks, the correlation between mass in kilograms and price in dollars is $r=0.40$. Find $r^2$ for the regression model.

A regression of braking distance in meters on bicycle speed in meters per second gives $r^2=0.49$, and the scatterplot slopes upward. What is the correlation $r$?

A model predicting heating cost from outdoor temperature has $r^2=0.64$, and the scatterplot shows cost falling as temperature rises. What is $r$?

For 20 tablets, a regression of battery life in hours on screen brightness gives $r^2=0.36$, with a negative direction in the scatterplot. What is $r$?

A regression of quiz score on study time gives $r^2=0.81$, and the scatterplot rises from left to right. What is the correlation $r$?

For 15 lakes, a regression of dissolved oxygen on water temperature gives $r^2=0.25$, and the scatterplot trends downward. What is $r$?

A regression predicting a school's electricity use in kilowatt-hours from daily temperature in degrees Celsius has $r^2=0.58$. Which statement interprets $r^2$ correctly?

A regression predicting tomato mass in grams from plant height in centimeters gives $r^2=0.72$. What does this value mean?

A regression uses hours of sleep to predict reaction time in milliseconds and reports $r^2=0.41$. Which interpretation is correct?

A regression predicting a car's resale price in dollars from age in years has $r^2=0.86$. Choose the correct interpretation.

A regression predicting monthly water use in liters from household size gives $r^2=0.33$. What is the correct meaning of $r^2$?

A regression predicts exam score from minutes spent reviewing and gives $r^2=0.67$. Which sentence correctly explains this number?

A regression predicting wheat yield in kilograms per hectare from rainfall in millimeters reports $r^2=0.52$. Which statement is correct?

Two models predict cafe daily sales in dollars for the same 18 days. The temperature model has $r^2=0.46$, and the foot-traffic model has $r^2=0.79$. What does this comparison support?

For the same 22 trees, one model predicts trunk diameter from age with $r^2=0.62$, and another uses soil nitrogen with $r^2=0.38$. What is supported?

Two regressions predict phone battery life in hours for the same 25 phones. Screen size gives $r^2=0.57$, while battery capacity gives $r^2=0.84$. What can be concluded?