Quiz-Tree

Medium - Quiz 1

Can you calculate slopes from data, make predictions, compute residuals, and interpret correlation coefficients? Put your two-variable skills to work.

Question 1 of 5
0 of 5 answered Score: 0%
Question 1
A plant was 3 centimeters tall at week 2 and 9 centimeters tall at week 6. Assuming the plant's growth is modeled by a linear function, what is the plant's growth rate, in centimeters per week?
🔒 Answer question 1 to unlock
A researcher models the relationship between hours of television watched per week (\(x\)) and test score (\(y\)) with the line of best fit \(y = -0.5x + 80\). According to the model, what test score is predicted for a student who watches 30 hours of television per week?
🔒 Answer question 2 to unlock
A line of best fit predicts that a student who practices piano for 10 hours will score 42 points on a performance exam. The student actually scores 45 points. What is the residual for this data point?
🔒 Answer question 3 to unlock
A study examining the relationship between outdoor temperature and hot chocolate sales finds a correlation coefficient of \(r = -0.92\). Which of the following best describes the relationship?
🔒 Answer question 4 to unlock
A survey of 200 people asked about coffee preference. The results are shown below. \[\begin{array}{|c|c|c|c|} \hline & \textbf{Hot Coffee} & \textbf{Iced Coffee} & \textbf{Total} \\ \hline \textbf{Under 30} & 30 & 70 & 100 \\ \textbf{30 and over} & 60 & 40 & 100 \\ \hline \textbf{Total} & 90 & 110 & 200 \\ \hline \end{array}\] Of those who prefer iced coffee, what fraction are under 30?
correct answers

Did you find this quiz useful?